“Concentrate all your thoughts upon the work at hand. The sun’s rays do not burn until brought to a focus.” – Alexander Graham Bell Hello! I’m Phung, a seasoned AI and full-stack technology strategist with a proven track record in transforming complex ideas into scalable, AI-powered SaaS MVPs. I specialize in helping startups and enterprises accelerate time-to-market by delivering Minimum Viable Products that are technically robust, user-focused, and strategically aligned with business goals. My expertise spans full-stack development, AI integration, automation, and cloud infrastructure, allowing me to architect SaaS solutions that are not only functional from day one but also designed for growth, flexibility, and competitive advantage. I combine a deep technical skillset with a business-first mindset, ensuring each MVP is validated, market-ready, and capable of evolving into a full-scale product. Core Differentiators: - Full-Cycle SaaS MVP Development: From ideation and prototyping to deployment and iterative scaling. - AI-First Product Strategy: Integrating advanced AI capabilities—generative models, NLP, semantic search, and automation—to deliver products that are intelligent and future-proof. - Rapid Time-to-Market: Prioritizing speed without compromising architecture quality, enabling fast validation and iteration. - Business-Aligned Architecture: Designing MVPs with KPIs, monetization, and user acquisition in mind. - Cross-Platform & Multi-Channel Integration: Delivering SaaS solutions that work seamlessly on web, mobile, and messaging platforms. - UX & Human-Centered Design: Conducting user research and testing to ensure engagement and adoption. - Scalability & Reliability: Building solutions with cloud-native architecture, robust DevOps pipelines, and scalable backend infrastructure. - Transparent Collaboration: Ensuring clear communication, realistic timelines, and continuous alignment with stakeholders. Specialized Services: - AI-Powered SaaS MVP Development: Custom solutions with features like AI chatbots, voice agents, intelligent automation, and analytics dashboards. - Full-Stack Architecture & Development: Designing secure, scalable, and maintainable codebases across frontend, backend, and cloud infrastructure. - Rapid Prototyping & Market Validation: Delivering functional MVPs that can be tested with early adopters quickly. - Conversational AI & Chatbots: End-to-end chatbot design, development, and optimization using GPT-4, Rasa, DialogFlow, and LangChain. - Custom API & System Integrations: Connecting your SaaS with messaging platforms, CRMs, payment systems, and third-party services. - AI Feature Consultation: Advising on which AI technologies to implement to maximize ROI, engagement, and automation. - Cloud Infrastructure & DevOps: Leveraging AWS, GCP, Docker, Kubernetes, and CI/CD pipelines for high-availability SaaS applications. - Analytics & Data-Driven Decision Making: Integrating tracking, reporting, and AI insights for continuous product improvement. Technical Expertise: - Languages & Frameworks: Python, JavaScript, TypeScript, React, React Native, Next.js, Node.js, Express, Django, Flask, FastAPI - AI & NLP: GPT-4, LLMs, Rasa, DialogFlow, LangChain, NLTK, SpaCy, Whisper, Word2Vec, FastText, Semantic Search - Databases & Storage: PostgreSQL, MySQL, MongoDB, BigQuery, Vector Databases (LanceDB, Weaviate, Pinecone) - Cloud & DevOps: AWS, GCP, Docker, Kubernetes, CI/CD pipelines, scalable microservices architecture - Integrations & Platforms: Slack, Telegram, WhatsApp, Facebook Messenger, Instagram, Webhooks, REST & GraphQL APIs Notable SaaS MVPs & AI Projects: - AI Avatar & Video Generation Platforms: Creating immersive, generative AI content experiences. - AI Voice Agents & Conversational Assistants: Intelligent, multi-channel voice and chat solutions for enterprises. - Business & Financial Assistants: Automating workflows, analytics, and decision-making in SaaS applications. - Property Management & HR SaaS MVPs: Streamlined operations, automated communications, and AI-driven insights. - Health & Wellness Platforms: AI-powered mental health, coaching, and health tracking applications. - Language Learning Platforms: Conversational AI for personalized education and engagement. I partner with founders, product managers, and enterprise leaders to transform concepts into AI-driven SaaS products that are market-ready, technically sound, and optimized for growth. Every project I take on is guided by a principle of maximum impact, minimum friction, ensuring your MVP not only works but resonates with users and investors alike. If your vision is to launch a SaaS MVP with advanced AI capabilities that scales, engages users, and delivers measurable outcomes, I am ready to collaborate and bring it to life.

Specializing in Data Science and AI/ML, using tools like AWS SageMaker, Google AI, and Azure ML. Creating machine learning models with Python, R, Julia, TensorFlow, PyTorch, and Scikit-learn. Expertise in data integration with Kafka, Airflow, and NiFi. Proficient in Large Language Models (LLM), NLP with transformers and Spacy, and fine-tuning with Hugging Face. Developing AI assistants with Vapi.ai, Retell, and Bland.ai. Enhancing marketing with HubSpot and Marketo, managing social media with Hootsuite and Buffer. Skilled in CRM systems like GHL, Salesforce, and HubSpot, streamlining tasks with Make.com and Zapier. Creating AI art using Midjourney, Stable Diffusion, and Adobe Creative Suite. Utilizing cloud services such as AWS, Google Cloud, and Azure for scalable solutions. Ensuring reliable software development through experience with APIs and testing, driving business growth through innovation. Skilled in KPI analysis to measure and optimize performance metrics effectively. Detailed Tech Stacks 📚Programming Languages Python, R, Julia, Java, C++, C#, Swift, JavaScript, TypeScript, Ruby, PHP 🔍Data Science & ❇️AI/ML 🔸Programming Languages: Python, R, Julia 🔸Data Engineering: Apache Kafka, Apache Airflow, Apache NiFi, Alteryx, KNIME, Talend, ETL, Data Pipelines, Big Data Technologies 🔸Libraries/Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Seaborn, TFIDF, Spacy, Transformer-based Models 🔸Tools: Jupyter Notebook, Google Colab, Anaconda, DataRobot 🔸Platforms: AWS SageMaker, Google AI Platform, Azure Machine Learning 🔸Computer Vision: Classification, Detection, Tracking, Segmentation, Image/Video Generation 🔸Natural Language Processing: TFIDF, Spacy, Transformer-based Models 🔸Large Language Models (LLM): Applications (RAG, Chain, Agent, Graph), Optimization, Deployment, Fine-tuning 🔸Cloud Services: AWS, Sagemaker 🤖AI Bot Development 🔸Platforms: Dialogflow, Microsoft Bot Framework, Rasa, IBM Watson Assistant 🔸Technologies: Natural Language Processing (NLP), Machine Learning, Deep Learning 🔸Libraries/Frameworks: SpaCy, NLTK, GPT-3/GPT-4 🔸Voice AI Platforms: Vapi.ai, Retell, Blend.ai : For voice and chatbot automation 📊KPI Analysis 🔸Tools: Microsoft Excel, Google Sheets, Tableau, Power BI, Looker, IBM SPSS, SAS 🔸Expertise in identifying, measuring, and optimizing Key Performance Indicators (KPIs) to enhance business performance and decision-making. 🖼AI Art Experience 🔸Tools: Midjourney, Stable Diffusion, DALL-E, Adobe Creative Suite (Photoshop, Illustrator), Procreate 🧰CRM Platforms 🔸GHL, Salesforce, HubSpot, Zoho CRM, Pipedrive, Insightly ⚙️Automation 🔸Make.com, Monday.com, Zapier, Airtable, Microsoft Power Automate: For workflow automation and integration ⚙️Cloud Platforms 🔸Providers: AWS, Google Cloud Platform, Microsoft Azure 🔸Services: Lambda, EC2, S3, DynamoDB, Firebase, App Engine 🌐Web Development 🔸HTML/CSS, JavaScript, TypeScript, React, Angular, Vue, MERN, WordPress, Joomla, Magento 🪄Other Technologies 🔸APIs: RESTful APIs, GraphQL 🔸Testing: Jest, Mocha, Chai, Selenium, Cypress 🔸Containerization: Docker, Kubernetes

About Me: I’m an AWS-certified Machine Learning Engineer with 4+ years of hands-on experience building and deploying production-grade AI and ML systems. I specialize in Large Language Model (LLM) development, Retrieval-Augmented Generation (RAG) pipelines, and Natural Language Processing (NLP) applications such as classification, summarization, and sentiment analysis. With deep expertise in AWS SageMaker and Bedrock, I help organizations move generative AI projects from proof-of-concept to production, ensuring scalability, compliance, and performance. My focus is on building reliable, maintainable AI solutions that integrate seamlessly into existing business workflows. Currently pursuing my MSc in Computer Science (AI/ML) at Georgia Tech, I combine strong theoretical foundations with proven practical skills to deliver solutions that truly drive business outcomes. Services I Offer: 1. Fine-tuning Large Language Models (LLMs) for domain-specific applications 2. Building end-to-end RAG (Retrieval-Augmented Generation) systems with vector databases (Pinecone, Bedrock KB, Opensearch ) 3. Developing AI Agents for intelligent automation and knowledge retrieval 4. Designing and deploying NLP solutions – classification, summarization, sentiment analysis, entity extraction 5. Prompt engineering and model optimization for improved performance and accuracy 6. Production ML Systems – CI/CD pipeline automation, model versioning, and continuous monitoring using AWS SageMaker and related services Skills: Programming: Python, PySpark, JavaScript, FastAPI AI/ML: LLM Development (Hugging Face, LangChain, Bedrock), NLP (spaCy, Transformers) Frameworks/Libraries: Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch Cloud: AWS (SageMaker, Bedrock, Lambda, Glue, API Gateway, CloudWatch, S3) Model Lifecycle: MLflow, CI/CD for ML, Model Monitoring Databases: SQL, Pinecone (Vector DB), DynamoDB AI Optimization: Prompt Engineering, Model Fine-Tuning, Quantization Visualization: Tableau, AWS QuickSight Education: 🎓 MSc in Computer Science (AI/ML) – Georgia Institute of Technology, Atlanta, United States. 🎓 MSc in Cloud Computing (Software Engineering) – Munster Technology University, Cork, Ireland 🎓 BEng in Computer Engineering – Federal University of Technology, Owerri, Nigeria. Certifications: ✅ AWS Certified Solutions Architect – Associate ✅ AWS Certified Machine Learning – Specialty ✅ AWS Certified GenAI Developer – Professional (In progress) Industry Experience: AWS Data/ML Engineer @ HiveTekCorp (Dec 2025 - till present) MLOps Engineer @ Veterans United (Sept 2022 - Sept 2023) Data Scientist @ Veterans United (Dec 2020 - Sept 2022)

🏆 A dedicated professional with comprehensive expertise in Machine Learning, Computer Vision, Deep Learning, and Generative AI. I bring extensive experience in deploying advanced AI models and optimizing solutions for both desktop and embedded environments. My background includes certifications in Data Science, Deep Learning, and Machine Learning in Production, complemented by hands-on project experience. 🏆 🏆🏆 𝙀𝙓𝙋𝙀𝙍𝙏 𝙄𝙉 🏆🏆 🚀 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 🚀 ✅ Computer Vision Tasks: Skilled in Image Classification, Image Segmentation, and Object Detection. ✅ Deep Learning Frameworks: Proficient with TensorFlow, Keras, and PyTorch for developing sophisticated neural network models. ✅ Advanced Architectures: Experience in implementing Vision Transformers, Swin Transformers, and DETR. ✅ Image Processing: Expertise in numpy, OpenCV, matplotlib, and Pillow for preprocessing and manipulation. ✅ Annotation Tools: Familiar with LabelKit, Labelbox, labelme, and Colabeler for data labeling and annotation. ✅ Embedded Computer Vision: Proficient in deploying models on resource-constrained environments using TensorFlow Lite and other techniques. ✅ Explainable AI: Utilizes LIME and Grad-CAM for model interpretability. 🚀 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀 ⭐ Supervised Learning: Implementing models such as Logistic Regression, SVMs, Decision Trees, and Neural Networks. ⭐ Unsupervised Learning: Expertise in clustering methods like K-means, DBSCAN, Birch, and Hierarchical clustering. ⭐ Semi-Supervised Learning: Leveraging both labeled and unlabeled data for improved model accuracy. ⭐ Classification and Regression: Building and tuning models for various prediction tasks including Linear, Polynomial, Ridge, and Lasso Regression. ⭐ Ensemble Methods: Enhancing model performance with Random Forests, Bagging, and Boosting techniques. ⭐ Feature Engineering: Advanced techniques for feature selection and dimensionality reduction. 🚀 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 🚀 📈 Statistical Analysis: Applying advanced statistical methods for deriving insights from complex datasets. 📈 Data Interpretation: Translating analytical findings into actionable business strategies. 📈 Trend Analysis: Identifying patterns and forecasting future trends. 📈 Predictive Modeling: Utilizing predictive models for risk assessment and decision-making. 📈 Multivariate Analysis: Handling and analyzing multi-dimensional data. 🚀 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 🚀 📜 Generative Adversarial Networks (GANs): Experience with StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, and DCGAN. 📜 Generative AI Tools: Proficient with Ollama, LangChain, Llama3.1, RAG, Gemini, and GPT. 🚀 𝐄𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 🚀 📦 Embedded Devices Experience: Expertise with Arduino, STM32, ESP32, FPGA, Raspberry Pi, and Nvidia Jetson. 📦 Deployment Projects: Successfully deployed various AI models on edge devices, including Jetson Orin Nano and Jetson Tx2, for tasks like ANPR, emotion detection, gesture recognition, and more. 🏆🏆𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗞𝗜𝗟𝗟𝗦🏆🏆 🔍 Core Tools: Pandas, Numpy, Scikit-Learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost 🔍 Visualization: Matplotlib, Seaborn, Plotly, ggplot2 🔍 Data Processing: Dask, Apache Spark 🔍 Deep Learning: TensorFlow, Keras, PyTorch, Caffe, Theano 🔍 Natural Language Processing: NLTK, SpaCy, Gensim, BERT 🔍 Generative AI: GANs (StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, DCGAN), Ollama, LangChain, Llama3.1, RAG, Gemini, GPT 🔍 Transformers: Vision Transformers, Swin Transformers, DETR 🔍 Statistical Modeling: Statsmodels, SciPy 🔍 Computer Vision: OpenCV, PIL (Python Imaging Library), skimage 🔍 Development Tools: Jupyter, Docker, Git, SVN 🔍 Embedded Devices: Arduino, STM32, ESP32, FPGA, Raspberry Pi, Nvidia Jetson 📞 𝗟𝗲𝘁 𝘂𝘀 𝗖𝗼𝗻𝗻𝗲𝗰𝘁: 💼 I am passionate about bringing innovative AI solutions to life and optimizing them for various platforms. Contact me to explore how we can collaborate on your next project and achieve outstanding results together!

I build machine learning systems that run in production. Not demos. Not proofs of concept. Deployed, measurable AI. Seven years of ML engineering, eight AI products live, and a client base that spans healthcare, fintech, e commerce, and Web3. The work covers the full lifecycle from model design, training, fine tuning, deployment, and MLOps, with a consistent delivery record of 30 to 40% measurable improvement on core business metrics. Generative AI and Large Language Models LLM fine tuning and production deployment across GPT 4, Claude, Gemini, and LLaMA. Delivered eight GenAI applications to date, including RAG systems, multi step AI agents, and enterprise chatbots built on OpenAI API, Azure OpenAI, and LangChain. Prompt engineering is treated as an engineering discipline, structured, testable, and versioned. Fluent in Hugging Face, FAISS, Pinecone, and agentic AI frameworks. Machine Learning and Deep Learning Custom model architecture using TensorFlow 2.x, PyTorch, Keras, and scikit learn. Experience spans supervised learning, unsupervised learning, transformer based architectures, BERT fine tuning, and ensemble methods built for enterprise scale, not Kaggle benchmarks. Computer Vision Real time vision systems achieving 98% plus accuracy using YOLO, ResNet, and custom CNN architectures. Deployed applications include quality control automation, medical imaging analysis, and sports performance tracking with complex occlusion handling. NLP and Conversational AI Production NLP pipelines processing 10M plus documents daily using BERT, Hugging Face Transformers, spaCy, and NLTK. Covers sentiment analysis, document classification, named entity recognition, and the full backend stack for AI chatbot development. Predictive Analytics and Time Series Forecasting models with 75 to 90% accuracy using LSTM, GRU, Prophet, and XGBoost, applied to demand forecasting, fraud detection, credit risk scoring, and customer behavior prediction. Industry Coverage Healthcare AI with HIPAA compliant clinical decision support, diagnostic algorithms, and medical imaging. Financial services including fraud detection, AML and KYC automation, algorithmic trading, and risk modeling. E commerce covering recommendation engines, dynamic pricing, and personalized AI. Manufacturing including predictive maintenance and supply chain optimization. Web3 covering on chain analytics, DeFi modeling, and wallet behavior prediction. Selected Deployments Alfred AI with 25% reduction in e commerce returns through ML powered personalization NBA Predictor with 78% match outcome accuracy, live at hyperformancepicks Valfile with NLP based talent matching and resume analysis at scale Binance Chain Analytics with 3.4TB processed and 90% recall on investor scoring InfoFinlandBot, RecorDr, Lawyerup as production GPT based systems with real users Stack TensorFlow 2.x, PyTorch, Keras, scikit learn, XGBoost, Hugging Face, LangChain, Pinecone, FAISS, OpenCV, spaCy, NLTK deployed on AWS SageMaker, Azure ML, and Google Vertex AI via Docker and Kubernetes. Python, R, SQL, JavaScript, Scala. MLflow for experiment tracking and MLOps pipeline management.

Raised $3M in just 3 weeks with an MVP? I made it happen. ✅ Full Stack & AI Engineer with 10+ Years of Expertise ✅ Blockchain & HealthTech Specialist with 6+ Years ✅ Launched 25+ Startup MVPs ✅ Developed 18+ AI-Driven Solutions, Including NLP and Vision Systems ✅ Boosted Client App Retention by 38%+ ✅ Consistent On-Time Delivery with 45%+ ROI ✅ Built 12+ Secure Blockchain Platforms for DeFi and NFTs 🌟 I’m a Full Stack Software Engineer with a passion for AI, Blockchain, Web & Mobile Development, and HealthTech innovation. With over 10 years of experience, I create scalable, secure, and user-focused solutions for startups and high-growth sectors. Whether you need a cutting-edge AI chatbot, a DeFi blockchain platform, or a HealthTech MVP, I’m here to turn your vision into reality. Let’s build something extraordinary! ⚡️ 🌟 As a Full Stack Developer and AI/Blockchain expert, I deliver end-to-end solutions that have helped startups secure $1.2M+ in funding and scale to 120K+ users. From AI-driven applications to secure blockchain ecosystems, I provide the technical expertise and business insight to drive success in FinTech, EdTech, and HealthTech. 🌟 My specialties include AI (NLP, computer vision, speech recognition) and blockchain (smart contracts, DeFi, tokenized assets), crafting robust applications with Python, TensorFlow, Solidity, and React Native for seamless, cross-platform performance. ✔️ As a Full Stack Engineer, I built a telemedicine app that improved patient retention by 42%. ✔️ As a Blockchain Specialist, I launched a DeFi platform handling $600K+ in transactions in its first 30 days. ✔️ As an AI Engineer, I created a conversational AI that increased user engagement by 35% for a FinTech client. ✔️ As a Mobile Developer, I revamped an app to earn a “Best Design” award on Dribbble. ✔️ As a Web Developer, I developed a SaaS platform that tripled the client’s revenue stream. 💻 Core Expertise & Technologies AI & Machine Learning: Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face for NLP, vision, and voice systems Blockchain: Solidity, Ethereum, Binance Smart Chain, Web3.py, Hardhat, IPFS, NFTs. Web & Mobile: React, React Native, Flutter, Vue.js, Angular, Django, FastAPI, WordPress. Cloud & DevOps: AWS (EC2, S3, RDS), Google Cloud, Firebase, Docker, Kubernetes, CI/CD. Databases & APIs: MySQL, MongoDB, PostgreSQL, GraphQL, REST, Stripe, Twilio integrations. HealthTech: HIPAA-compliant systems, EHR integrations, wearable device connectivity. 🚀 MVP Development & Product Launch From ideation to market, I ensure fast, high-quality launches with: Agile Workflow: Rapid prototyping and clear milestones for quick market entry. Secure Systems: Blockchain-grade security and compliant HealthTech architectures. Engaging UX/UI: Designs that drive 40%+ conversion and retention rates. ⚙️ End-to-End Partnership As an AI and Blockchain Engineer, I transform ideas into scalable, reliable solutions: Strategy & Design: Creating robust, scalable plans with a focus on user experience. Development: Writing clean, modular code using modern frameworks for optimal performance. Ongoing Support: Providing updates, optimizations, and feature expansions post-launch. 🤝 Why Work With Me? Measurable ROI: My projects consistently deliver 45%+ ROI for clients. Reliability: With 25+ MVPs launched, I guarantee timely and budget-friendly delivery. Transparent Collaboration: I combine technical expertise with business strategy to maximize funding or revenue growth. Proven Impact: My solutions have empowered startups to raise $1.2M+ and grow to 120K+ users. 📱 Platforms I Build For iOS & Android Apps Web & SaaS Platforms Blockchain & DeFi Ecosystems HealthTech & Telemedicine Solutions ⚙️ Technologies Frontend: React, React Native, Flutter, Next.js, TypeScript, JavaScript, Ionic. Backend: Node.js, Python (Django, FastAPI), PHP (Laravel), NestJS, GraphQL. Blockchain: Solidity, Web3.js, Ethers.js, Chainlink, Polygon, Solana. AI/ML: TensorFlow, PyTorch, Keras, Rasa, Dialogflow, YOLO, SpaCy. Cloud: AWS (Lambda, ECS), Azure, Firebase, Heroku, Vercel. DevOps: Docker, Jenkins, GitLab CI, Ansible, Terraform. Additional Expertise: WebRTC, SIP protocols, Data Analysis, FinTech payment gateways, Motion Graphics, Business Strategy. Let’s team up to bring your AI, blockchain, or HealthTech project to life. Reach out today to kickstart your next game-changing solution! ⚡️

Senior Python Developer | 7+ Years Experience | LLM, RAG, LangChain, OpenAI, Claude Most Python developers can build a Django backend. Or wire up OpenAI. Or stand up a RAG pipeline. I do all three, production-grade, with proper error handling, monitoring, and observability. With 7+ years building scalable AI/ML systems and Python backends for SaaS founders, agency owners, ops directors, and growth teams across North America, I architect AI-powered systems that ship to real users, not demos. I've delivered LLM Chatbots, RAG pipelines, AI Agents, Django/FastAPI SaaS backends, web scrapers, and data engineering pipelines used by real customers across SaaS, fintech, e-commerce, healthcare, EdTech, and B2B platforms. ━━━━━━━━━━━━━━━━ ⭐ WHAT I BUILD (END-TO-END) 🤖 AI / ML / LLM Engineering — OpenAI GPT-4/5 · Claude · Gemini · Mistral · LLaMA · DeepSeek · LangChain · LangGraph · LlamaIndex · RAG pipelines · vector databases (Pinecone, Chroma, Weaviate, Qdrant, Milvus) · embeddings · semantic search · prompt engineering · fine-tuning · function-calling · MCP · multi-agent orchestration · sentiment analysis · NLP (NLTK, spaCy, Hugging Face) · Computer Vision ⚙️ Python Backend Engineering — Django · Django REST Framework (DRF) · FastAPI · Flask · Celery · RabbitMQ · Redis · JWT / OAuth2 · WebSockets · GraphQL · REST APIs · Python 3.11+ · async/await · Pydantic · SQLAlchemy 🗄️ Data Engineering & Pipelines — Pandas · NumPy · PySpark · Dask · Apache Airflow · dbt · ETL/ELT · BigQuery · Snowflake · real-time data sync · event-driven architecture · data warehousing 🕸️ Web Scraping & Data Extraction — Scrapy · BeautifulSoup · Selenium · Playwright · Apify · FireCrawl · proxies (BrightData, ScraperAPI) · anti-bot bypass (CAPTCHA, rate limits, IP rotation) · headless browsers · stealth scraping 🗃️ Databases — PostgreSQL · MySQL · MongoDB · Redis · Supabase · Firebase · SQLite · pgvector · DynamoDB · Elasticsearch · Algolia ☁️ Cloud & DevOps — AWS (Lambda, ECS, EKS, S3, RDS, SQS, SNS, CloudFront, API Gateway) · Google Cloud · Microsoft Azure · DigitalOcean · Docker · Kubernetes · Terraform · Jenkins · GitHub Actions · CI/CD · MLflow · Databricks · Prometheus · Grafana 🔗 Integrations — Stripe · PayPal · Plaid · Twilio · SendGrid · Mailgun · Slack · Notion · Airtable · HubSpot · Salesforce · Pipedrive · GoHighLevel · webhooks · REST · GraphQL · gRPC ━━━━━━━━━━━━━━━━ ⚙️ HOW I WORK 1. Free 30-min discovery — understand the product, scope, success criteria 2. Strategy & architecture — system design, tech stack, fixed-price scoped proposal 3. Build with testing & documentation — feature builds, code reviews, CI/CD 4. Deploy with monitoring — error tracking, performance monitoring, audit logs 5. Ongoing support — runbooks, maintenance, feature iteration ━━━━━━━━━━━━━━━━ 📩 LET'S CONNECT If you need a Python developer who understands both backend engineering and AI, send me a message. Same business-day reply with honest feasibility check, recommended approach, and fixed-price quote.

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

I am a full stack developer and AI/ML developer who bridges backend engineering, web development, and data science with advanced AI. My career has been dedicated to building robust websites and management systems for various clients, ranging from small businesses to large enterprises. My expertise spans across multiple technologies and platforms, ensuring that I deliver high quality solutions that meet the specific needs of my clients. ⚙️ 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐚𝐬 𝐘𝐨𝐮𝐫 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 🌐 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 As a Python developer and full stack developer, I build secure, production-ready applications: Backend engineering with Django, FastAPI, and RESTful APIs as an experienced backend developer. Web solutions as a react developer and web developer using React, JavaScript, PHP, Laravel, and Java. SQL databases and database developer practices for scalability. CMS platforms as a WordPress developer, hybrid integrations and mobile app development. Process automation with web scraping, data scraping, bots, and lead generation systems. 🧠 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 As a machine learning developer and data scientist, I design AI that works in production: Computer vision for automation, recognition, and compliance. NLP Python pipelines with spaCy and BERT as an nlp engineer and nlp developer. Conversational AI: GPT-3, Dialogflow, ManyChat, and custom chatbot development. Generative AI with DALL-E and recommendation systems. Predictive analytics, algorithmic trading, and fraud detection with ai machine learning. 🌍 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐇𝐚𝐯𝐞 𝗪𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡 FinTech & Banking - wallets, compliance, algorithmic trading, fraud detection. Healthcare & MedTech - telemedicine apps, AI diagnostics, compliance automation. E-Learning & EdTech - adaptive platforms, AI tutoring, real-time analytics. E-Commerce & Retail - personalization, recommendation engines, Amazon SEO. LegalTech & Compliance - NLP machine learning for contracts and document intelligence. Gaming & Entertainment - gaming developers, personalization, generative content. Startups & SaaS - MVPs that raised millions, scalable SaaS ecosystems. 🏆 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? ▔▔▔▔▔▔▔▔▔ 🔸 Over 6 years of experience in full stack development. 🔸 PHP and Laravel: Mastery in backend frameworks to build powerful applications. 🔸 React and Vue.js: Expertise in modern frontend frameworks to create dynamic interfaces. 🔸 Node.js: Proficient in building scalable, full-stack applications. 🔸 Tailored Solutions: Each project is customized to fit your unique requirements. 🔸 Reliable Delivery: Consistent, on time delivery within budget. 🔸 Innovation & Excellence: Adopting the latest technologies to stay ahead. 🔸 Expertise across stacks: Python, React, FastAPI, Django, Laravel, SQL, Java, JavaScript, WordPress, RESTful APIs. 🔸 End-to-end delivery: from web scraping and data entry automation to AI-powered apps with GPT-3, DALL-E, ManyChat, Dialogflow. 📞 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐓𝐡𝐚𝐭 𝐋𝐚𝐬𝐭𝐬 If you’re looking for an expert full stack and AI/ML developer who blends backend stability with AI innovation - let’s talk. 📅 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐚 𝐜𝐚𝐥𝐥 and I’ll provide a free consultation, outline a roadmap, and deliver a step-by-step plan with budget clarity.

Experienced AI & Machine Learning Engineer specializing in designing, developing, and deploying intelligent applications powered by Large Language Models (LLMs), Generative AI (GenAI), AI Agents, Agentic AI, NLP, and Retrieval-Augmented Generation (RAG). I help startups, SaaS companies, SMBs, and enterprises build scalable AI solutions that automate workflows, enhance decision-making, improve customer experiences, and accelerate business transformation through intelligent automation. With strong expertise in LLM-powered applications, multi-agent systems, conversational AI, semantic search, enterprise knowledge systems, NLP pipelines, and autonomous AI workflows, I build secure, scalable, and production-ready AI solutions tailored to complex business requirements. My focus is on delivering measurable business outcomes through intelligent assistants, autonomous agents, contextual AI systems, and enterprise-grade automation. Whether you need AI chatbots, AI agents, Agentic AI workflows, RAG pipelines, enterprise knowledge assistants, NLP automation, LLM integration, AI copilots, GenAI-powered applications, recommendation systems, or long-term AI engineering support, I provide end-to-end AI & ML solutions aligned with your business goals. Core Competencies ✅ Large Language Models (LLMs) ✅ Generative AI (GenAI) Applications ✅ AI Agent Development ✅ Agentic AI & Multi-Agent Systems ✅ Retrieval-Augmented Generation (RAG) ✅ Natural Language Processing (NLP) ✅ Conversational AI & Virtual Assistants ✅ Enterprise Knowledge Systems ✅ AI Workflow Automation ✅ Semantic Search & Vector Databases ✅ Prompt Engineering & Context Optimization ✅ Document Intelligence & AI Search ✅ Recommendation Systems ✅ Text Classification & Summarization ✅ Model Fine-Tuning & Optimization ✅ AI API Development & Deployment Technical Expertise ✔ LLMs & Generative AI: OpenAI GPT, Claude, Gemini, Open-Source LLMs (Llama, Mistral, Mixtral), Prompt Engineering, Fine-Tuning & Optimization ✔ AI Agents & Orchestration: Agentic AI Systems, CrewAI, AutoGen, LangGraph, LangChain Agents, Multi-Agent Workflows, Autonomous Task Execution ✔ RAG, NLP & Search: Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate), ✔ Semantic Search & Embeddings: spaCy, NLTK, NLP Pipelines, Text Intelligence ✔ Development & Deployment: Python, FastAPI, REST APIs, Docker, AWS, Azure, SQL, Git/GitHub MLOps & Monitoring Services I Offer ✔ LLM & GenAI Application Development ✔ AI Agents & Agentic AI Systems ✔ RAG Pipelines & Knowledge Assistants ✔ NLP Automation & Text Intelligence ✔ AI Chatbots & Virtual Assistants ✔ Enterprise AI Automation ✔ Prompt Engineering & Fine-Tuning ✔ Semantic Search & Vector Databases ✔ AI Copilot Development ✔ AI API Development & Integration ✔ Model Deployment & Optimization ✔ Long-Term AI Engineering Support Why Clients Choose Me ✔ Strong expertise in LLMs, GenAI & Agentic AI ecosystem ✔ Production-ready and scalable AI architecture ✔ Business-focused AI implementation approach ✔ Secure, reliable, and high-performance AI systems ✔ Fast communication and transparent delivery ✔ Experience across SaaS, healthcare, finance, retail, logistics, and enterprise domains ✔ Long-term AI partnership mindset I focus on building intelligent AI systems that automate operations, improve productivity, unlock business intelligence, and create measurable business value. From AI copilots and enterprise knowledge assistants to autonomous agentic workflows and GenAI applications, I help businesses transform ideas into scalable, production-ready AI solutions. Let’s build intelligent AI systems that drive automation, innovation, and business growth.