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.

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.

Expert-Vetted and Top Rated Plus (Top 1% )🏆🏆🏆 I am a Machine Learning Engineer/Data Scientist with 5 years of experience. I am a business-minded data scientist with an entrepreneurial spirit. My experience is in hands-on product development and implementation of data-driven products in the Computer Vision and Natural Language Processing domain, using state of the art deep learning algorithms. I propose modern and dynamic solutions to my clients for their business goals, and guide them throughout the journey to minimize the cost and maximize the output. I have experience working in an international environment and leading cross-cultural teams, and the ability to communicate fluently and clearly with team members, customers, and stakeholders. I have worked on the development of multiple AI/ML systems, serving millions of users at scale. Two of the Products that I am a part of, have raised seed funding totaling $1 Million. I have also been specializing in general machine learning, including academic and industrial research collaboration. Over the past 5 years, I have worked as an AI consultant and advised multiple projects in Computer Vision from bachelors to post graduate, in an industrial capacity. I have around 10 research publications in International conferences and Journals. Artificial Intelligence skills: ⠀✓ Supervised/Unsupervised/Semi-Supervised Learning Implementations ⠀✓ Classical Computer Vision Algorithm ⠀✓ Natural Language Processing/Natural Language Understanding ⠀✓ Edge-AI: Edge-Device Optimization, Jetson Nano, Jetson Xavier, Arduino, Raspberry Pi, Neural Compute Stick. ⠀✓ Image Processing and Deep Learning ⠀✓ Fast Neural Networks ⠀✓ Artificial Neural Networks (including DNN, CNN, FCNN, RNN, LSTM, GAN, VAE, etc.) ⠀✓ ML/DL tools: Scikit-Learn, PyTorch, Tensorflow, OpenCV, SciPy, NumPy, OpenVino ⠀✓ Data Manipulation/Visualization Tools: NumPy, Pandas, Matplotlib, Seaborn, NetworkX Whether it is working on a big and exciting project, or tutoring students on their final-year projects, I believe communication, trust and respect always come first. My strong points are Creativity, Punctuality, Responsiveness and Accountability. So, get in touch with me if you have an exciting idea you want to discuss the feasibility of, or just want some guidance or consultation on your next endeavor, I'm just a text away.

I help organizations replace AI guesswork with functional, glass-box solutions and rigorous scientific validation. As a PhD Scientist and Senior Research Manager, I specialize in building the transparent frameworks required for high-stakes, automated decision-making. Whether you are navigating complex datasets or developing an Explainable AI (XAI) strategy, I provide the academic rigour and technical oversight needed to transform messy data into clear, defensible, and trusted AI systems. Impact & Proof - Enterprise AI Workflows: Oversaw the development of a comprehensive AI Ethical Framework and R&D adoption path, driving the successful launch of 10+ operational and client-facing AI workflows. - Clinical ML Deployment: Built ML models for pediatric rehabilitation that integrated into clinical therapy programs across home and clinic settings. These applications have been deployed in 2 hospitals, serving 50+ patients and utilized by 10+ clinicians. - Data Science & Advanced Analytics: Delivered 60+ comprehensive Quality Assurance reports, specializing in extracting actionable insights from messy data and solving fuzzy, ill-defined business questions through rigorous scientific validation. - Academic Rigour: Authored over 60 peer-reviewed academic journal articles, conference papers, and presentations, grounding my freelance work in cutting-edge, verifiable AI and data science methodologies. Core Services Explainable AI (XAI) Strategy - The Problem: "Our AI makes decisions, but I can't explain why to my stakeholders or my users." - The Solution: I turn "black box" models into transparent systems with human-readable outputs, ensuring best-practice and stakeholder buy-in. Scientific Validation - The Problem: "We know our product has potential, but we lack the rigorous scientific proof to show how great it is." - The Solution: I design comprehensive, peer-reviewed validation frameworks across the entire scientific workflow—from hypothesis generation, experimental design, and data collection, to statistical modelling, evaluation, and reporting—to definitively prove your tool works safely and accurately in the real world. Algorithmic Auditing - The Problem: "We are ready to scale our AI to the next level, but need a defensible governance framework to prove to stakeholders that our models are fair and systematically sound." - The Solution: Implementing an end-to-end AI governance framework that spans technology evaluation, systems architecture, and ethical policy design, ensuring fair results across user populations and mitigating long-term risk. (Note: Due to an active non-compete agreement, I am unable to accept engagements related to Higher Education Selection Assessment and Analytics.) What Others Say (via LinkedIn) "Alex consistently brings a high level of technical expertise and client-focused insight... translating data into recommendations that resonate with their goals." — Katie A., MBA, Strategic Partnerships "His consistent and patient guidance have been instrumental in accelerating my knowledge in applying machine learning... Alex breaks down complex biomechanical and technical concepts through concrete examples." — Elisa D., MScAC, Machine Learning & Data Science Analysis & Tech Stack - Languages & AI Frameworks: Python (Pandas, Polars, SciPy, TensorFlow, PyTorch, LangChain, LangGraph, GraphRAG, spaCy, FastAPI, Streamlit, Plotly, Weights & Biases), R, MATLAB - Data & Cloud: SQL (PostgreSQL), Vertex AI, Gemini File Search, Docker, Firebase, Pinecone, Looker, Qlik, AWS - Methodologies: Bayesian & Classical Statistics, Mixed-Methods Studies, Psychometrics, Meta-analysis, Biomechanical Modelling, User-Centered Design Ready to deploy with confidence? If you want to prove your AI works well, send me a message. Let's set up a 15-minute consultation to map out your algorithmic auditing and validation strategy.

I am a skilled AI Engineer and Full Stack Developer with expertise in developing cutting-edge solutions in Artificial Intelligence, Natural Language Processing, and scalable web applications. My experience spans advanced AI models, full stack technologies, and modern frameworks to design and implement innovative tools tailored to various business requirements. What I can do for you: Design and develop custom AI chatbots customized to your requirements. Fine-tune LLMs to align with specific business goals. Build NLP solutions for tasks such as text analysis, summarization, and recommendations. Implement RAG and GraphRAG techniques for knowledge-intensive AI applications. Develop full stack web applications using modern frameworks and libraries. Integrate AI functionalities into web platforms for seamless user experiences. Technical Expertise & Toolset Artificial Intelligence & Machine Learning: TensorFlow, PyTorch, Scikit-learn, LangChain, Hugging Face Natural Language Processing (NLP): SpaCy, NLTK, OpenAI API, Hugging Face Transformers Full Stack Development: Frontend – React.js, Next.js, HTML/CSS, Tailwind, JavaScript Backend – Node.js, Express, FastAPI, Flask Database – MongoDB, PostgreSQL, MySQL, Firebase Data Manipulation & Visualization: Pandas, NumPy, Power BI, Tableau Cloud & DevOps: AWS (S3, EC2, Lambda), Azure, GCP, Docker, Kubernetes Vector Databases: FAISS, Pinecone, Milvus Computer Vision Applications: OpenCV, MediaPipe, YOLO, TensorFlow If you're looking for scalable, intelligent, and production-ready AI or full stack solutions, let's work together to bring your ideas to life!

🥇 Top 10% 𝐀𝐈/𝐌𝐋 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 on Upwork 🥇 2+ Years of Experience in AI/ML Solutions 🥇 Proven Expertise in AI-Driven Applications 🥇 Available to Start Immediately – Hit the "𝐈𝐧𝐯𝐢𝐭𝐞" Button to Connect! As a highly skilled 𝐀𝐈/𝐌𝐋 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭, I specialize in delivering cutting-edge AI solutions that drive innovation across multiple industries. My experience spans Natural Language Processing (NLP), deep learning, computer vision, and AI-based automation, ensuring that your project is executed with precision, scalability, and efficiency. 𝐊𝐞𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 & 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Custom AI/ML models for predictive analytics and advanced AI-driven tools. - Specialized in 𝐋𝐋𝐌𝐬 (OpenAI, Llama) and 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 (LangChain, RAG, ChatGPT, DialogFlow) - Specialized in NLP applications like text classification, named entity recognition, and sentiment analysis using BERT, GPT, and Transformers. - Developing deep learning solutions using TensorFlow, PyTorch, and Keras. - Expertise in computer vision: object detection, facial recognition, and video analysis using OpenCV. - AI automation and intelligent recommendation systems for e-commerce, healthcare, and finance. 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: - Building AI-powered SaaS applications from scratch to scale. - Seamless integration of AI models into your web and mobile applications. - Implementing AI-based automation to streamline your business workflows, saving hundreds of hours in repetitive tasks. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐍𝐋𝐏: TensorFlow, PyTorch, Keras, BERT, GPT, NLTK, spaCy 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: OpenCV, image processing, video analysis, object detection 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Building and integrating AI APIs (OpenAI, Stripe, Google) to deliver efficient, scalable AI solutions 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React.js | Next.js | TypeScript | Tailwind CSS | Angular | Vue.js | Redux | Material UI | HTML5 | CSS3 | jQuery 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Node.js | Express.js | Python | Django | MongoDB | Firebase | MySQL | PostgreSQL | REST & GraphQL APIs | Microservices Architecture 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Feature engineering, data preprocessing, Flask, FastAPI, AWS, Docker, GCP I specialize in developing AI solutions that meet the unique needs of 𝐔𝐒, 𝐔𝐊, and 𝐔𝐀𝐄-𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬. My AI and machine learning expertise has supported businesses across Silicon Valley, Wall Street, and beyond, providing AI-driven applications for the tech, finance, healthcare, and e-commerce industries. 𝐏𝐫𝐨𝐯𝐞𝐧 𝐈𝐦𝐩𝐚𝐜𝐭 𝐀𝐜𝐫𝐨𝐬𝐬 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 - 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞: Built custom recommendation engines that led to a 25% increase in sales and improved customer retention. - 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: Developed AI-powered diagnostic tools and automated patient management systems, improving efficiency and accuracy. - 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Designed intelligent automation systems that reduced manual tasks by 30%, leading to a substantial increase in productivity. Whether you're looking to create an 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐌𝐕𝐏, optimize business processes, or integrate deep learning models, I am here to deliver exceptional results tailored to your needs. Let's build the future together. Click "𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛" and let’s discuss how we can bring your AI project to life! 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐦𝐞 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤: AI Chatbot, Chatbot Development, AI-Powered Applications, AI Agent development, Machine Learning Models, Deep Learning Algorithms, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AI Mobile App Development, AI Integration, AI-Based Automation, Generative AI, JavaScript, Python, API Integration, Web Application Development, SaaS Development, Reinforcement Learning, GPT-3, GPT-4, AI Model Optimization, Data Engineering for AI, AI-Driven SaaS Platforms, Neural Networks, Supervised and Unsupervised Learning, Recommendation Systems, Predictive Analytics, OpenAI API Integration, Keras, AI Research and Development, AI Deployment, AI in Healthcare, AI in E-commerce, AI in Finance, AI-Driven Automation, AI Chatbot Integration, AI-Powered SaaS Solutions, AI API Development, Data Preprocessing for AI, AI Workflow Automation, AI Model Deployment, Artificial Intelligence Platforms, AI Software Solutions, Web Development

AI/ML Engineer specializing in Computer Vision, n8n Automation, and Intelligent Chatbots, building production-ready AI systems that solve real business problems through real-time object detection, smart conversational agents, and automated workflows designed to save time and drive operational efficiency. 💡 WHAT I DELIVER: 🎯 Computer Vision & Deep Learning - Real-time object detection & tracking (YOLO, Faster R-CNN, DeepSORT) - License plate recognition & OCR systems - 3D reconstruction & point cloud processing - Pose estimation for fitness/sports analytics - Custom CV models for security, retail, and sports 🤖 AI Chatbots & NLP - Intelligent chatbots with OpenAI GPT, LangChain, RAG - Voice agents and conversational AI - Meeting automation & appointment scheduling bots - Customer support chatbots with CRM integration ⚙️ n8n Automation Expert - Complex n8n workflows (AI agents, data pipelines, CRM sync) - Business process automation (lead generation, social media, data extraction) - API integrations (OpenAI, Google Calendar, Twilio, webhooks) - Zapier & Make.com automation - Custom Python automation scripts 🏆 WHY WORK WITH ME: ✅ Production-Ready Solutions: I've deployed systems for license plate detection, sports analytics, 3D reconstruction, and AI chatbots all optimized for real-world use ✅ End-to-End Development: From concept to deployment, I handle the complete pipeline ✅ Business Impact Focus: Every solution is designed for ROI, scalability, and measurable results ✅ Clear Communication: I keep you updated throughout the project and deliver on time 🛠️ TECH STACK: **AI/ML:** PyTorch, TensorFlow, YOLO, OpenCV, Scikit-learn **NLP:** OpenAI GPT-4, LangChain, Hugging Face, SpaCy **Automation:** n8n, Zapier, Make.com, Python, REST APIs **Tools:** AWS, Docker, Flask, FastAPI, PostgreSQL, MongoDB 🚀 Let's build AI solutions that drive real business value!

I am a Senior Software Engineer with expertise in Data Science and Data Engineering with over 6 years of experience specializing in the "system choreography" required to build resilient, autonomous, data-driven platforms. My expertise lies at the intersection of high-concurrency backend architecture and production-grade AI integration, helping enterprises move from static data models to reactive, agentic systems that handle millions of requests with sub-100ms latency. I architect data-driven backends that are not just scalable, but "intelligent by design." By combining serverless-first infrastructure with advanced retrieval patterns, I ensure your AI solutions are faithful, verifiable, and cost-optimized for the current cloud landscape. SERVICES ▻ Machine Learning & AI Engineering: Building Agentic RAG pipelines and autonomous workflows using LangGraph and LLM orchestration, as well as production-grade Regression/Classification models. ▻ Data Engineering & Streaming: Designing real-time, event-driven pipelines, Change Data Capture (CDC) architectures, and data lakes for high-throughput enterprise systems. ▻ High-Concurrency Backend: Developing async-first APIs and distributed microservices that prioritize fault tolerance, peak-load performance, and low-latency execution. ▻ Cloud Infrastructure & DevOps: Provisioning serverless-first, "Zero-Trust" environments on AWS and Azure using Infrastructure as Code (IaC) to ensure rapid, secure deployments. ▻ System Evaluation & LLMOps: Implementing RAGAS, continuous evaluation frameworks, and robust observability stacks (OpenTelemetry, Prometheus) to guarantee production reliability. TECHNOLOGY AND STACK ⚙️ Core languages - Python, C++, Java ⚙️ Backend & APIs: FastAPI, Django, Spring Boot ⚙️ Data & Big Data - Apache Airflow, Kafka, Snowflake, Databricks, DBT, AWS Glue ⚙️ SQL/NoSQL & Vector DBs: MySQL, PostgreSQL, Google BigQuery, MongoDB, DynamoDB, Redis, ChromaDB / Pinecone / Milvus (Caps lock/Add your preferred Vector DB) ⚙️ Data Analysis and Machine Learning: Pandas, NumPy, Dask, SciPy, OpenCV, TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, spaCy, LangChain, LangGraph ⚙️ Cloud & DevOps - AWS (EC2, EMR, S3, Lambda, Redshift, Kinesis, SageMaker, StepFunctions), Azure (Functions, Durable Functions), GCP (Pub/Sub, Cloud Run), Terraform / CloudFormation I advocate for a "Modular Monolith First" approach, leveraging Domain-Driven Design (DDD) to ensure clean service boundaries are established before executing full microservice decomposition. Let’s discuss how I can bring architectural excellence, cost optimization, and intelligent automation to your next project.

🚀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 have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous agents built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines → MLOps & Production Deployment: • Model training, validation, and deployment pipelines • Docker containerization and cloud deployment (AWS, GCP) • Model monitoring, versioning, and automated retraining • FastAPI and Flask-based ML serving infrastructure → Cloud & DevOps: • AWS deployment and infrastructure management • Docker containerization and Kubernetes orchestration • CI/CD pipeline setup and automation • Performance monitoring and scaling I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.