Hey there, Welcome to my Upwork profile. I help startups, SaaS businesses, ERPs, and growing teams build AI-powered systems that are practical, scalable, and aligned with real business goals, not just experimental prototypes. With 10+ years of experience across full-stack development, automation, SaaS platforms, and AI integrations, I work closely with founders and teams to bring clarity before and during development: 1). What should actually be built 2). Which processes are worth automating 3). How to design systems that remain scalable, maintainable, and useful as the business grows My focus is always on building solutions that work reliably with real users, real workflows, and real operational requirements. 🧠 Core Expertise 1) AI, Automation & Intelligent Systems - Python, TensorFlow, scikit-learn - NLP and AI-powered workflow automation - LLM integrations and AI agents - RAG pipelines and intelligent search systems - Data processing and automation logic 2) Full-Stack & SaaS Development - FastAPI, Django, Flask, Node.js - React.js, Next.js, Tailwind CSS - REST APIs and third-party integrations - Scalable SaaS architecture and admin systems - Custom dashboards and internal tools 3) Cloud, Deployment & Infrastructure - AWS & GCP - Docker and CI/CD pipelines - Secure deployment workflows - Database design and optimization ⭐ Why Clients Work With Me - Strong hands-on experience with scalable applications - End-to-end development ownership - Clean, reliable, and maintainable code - Business-focused technical decisions - Clear communication and dependable delivery - Long-term support and collaboration If you are looking for practical AI solutions, scalable systems, and clear technical direction, we will work well together. My Availability- -40 hrs/week Flexible with All Time Zones. -Communications Skills- Excellent In English. -Quality Service in Clients budget. -Updates Client on daily basis. Let’s discuss your idea and build something reliable, scalable, and useful. Thanks.

Currently working as a Machine Learning Developer , making Retrieval-Augmented Generation chatbots for the clients using GPT-4 and GPT-4o-mini .Indulged in Machine Learning field for more than 2 years as of now , that led me to work in prior 2 companies working closely with the clients in projects designing MLOps pipelines as a Tech Engineer and as a Freelancer. SERVICES I OFFER: ✅ Engaging with complex datasets from sources like Kaggle ,AWS Public Datasets and UCI datasets for exploration of essential data science concepts. This process includes data cleaning, exploratory data analysis (EDA), and visualization to extract meaningful insights and train the defined supervised or unsupervised model. ✅ Using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) in machine learning for handling structured data and image recognition, respectively. Implementing these models requires careful architecture design and optimization through backpropagation to achieve high accuracy. ✅ Creating Continuous Integration/Continuous Deployment (CI/CD) pipeline automating the integration of code changes to ensure efficient deployment to platforms like AWS EC2 and Vercel. Utilizing tools such as GitHub Actions which enhance the workflow efficiency while maintaining code quality. ✅ Building Generative AI chatbots using frameworks like LangChain, which integrates language models into applications. By employing Retrieval-Augmented Generation (RAG) techniques, these chatbots enhance their conversational capabilities with access to external knowledge bases. ✅ Mastering complex Data Structures and Algorithms (DSA) problems is essential for aspiring software engineers and data scientists. Python’s rich libraries and straightforward syntax make it an ideal language for practicing algorithm design and optimization strategies on platforms like LeetCode or GeeksForGeeks. TECH STACK I USE : ☑️ Programming Languages: Python, HTML/CSS, R ☑️ Deep Learning Frameworks/Tools: Tensorflow, Pytorch, Keras, mlxtend, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Gen AI : LLMs, Retrieval-Augmented Generation , FAISS ☑️ Web Framework: Flask, Streamlit ☑️ Cloud Platforms: AWS, Vercel ☑️ Database Management: SQL,NoSQL ☑️ Development Tools/Paradigms: AWS, Heroku, Git, Github Actions,MLflow, Mlops,CI/CD ☑️ IOT : Raspberry PI, Sensors, Linux Feel free to reach me. Lets get together and build something !

💵$𝟏𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 | 🎖️𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 | 🛡️ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 As a 𝐋𝐞𝐚𝐝 𝐀𝐈/𝐍𝐋𝐏 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟕+ 𝐲𝐞𝐚𝐫𝐬 of hands-on expertise, I work across NLP, AI Agent Development, Neural Networks, Predictive Modeling, and Python while delivering 𝐇𝐈𝐏𝐀𝐀 𝐚𝐧𝐝 𝐆𝐃𝐏𝐑-𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 systems across healthcare, fintech, real-estate, and retail. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈'𝐯𝐞 𝐛𝐮𝐢𝐥𝐭: -- 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈: I have built a Rasa Core system where dataset balancing and custom vectorization pushed 𝐢𝐧𝐭𝐞𝐧𝐭 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐟𝐫𝐨𝐦 𝟔𝟏% 𝐭𝐨 𝟖𝟑% on an imbalanced dataset, deployed on PyTorch, NGINX, and PostgreSQL. -- 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐋𝐋𝐌 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: I led the development of a healthcare AI calling agent that handles outbound insurance verification autonomously by extracting 𝟕𝟎+ 𝐝𝐚𝐭𝐚 𝐩𝐨𝐢𝐧𝐭𝐬 𝐩𝐞𝐫 𝐜𝐚𝐥𝐥, cutting admin workload by 𝟖𝟎% and verification time from 𝟐 𝐝𝐚𝐲𝐬 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫 𝟒 𝐡𝐨𝐮𝐫𝐬. -- 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: I have built real-time prediction dashboards and analytical pipelines that turn raw signals into operational decisions. My recent work covers time-series forecasting, classification at scale, and anomaly detection across noisy, real-world data sources. The typical engagements achieve 𝟖𝟓% 𝐭𝐨 𝟗𝟏% 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 on production data after rigorous validation, with reporting 𝐥𝐚𝐭𝐞𝐧𝐜𝐲 𝐜𝐮𝐭 𝐛𝐲 𝟓𝟎% 𝐭𝐨 𝟔𝟎% compared to legacy batch-processing setups through distributed computing and cloud-native architectures. -- 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: I have built production-grade systems in PyTorch, TensorFlow, and Scikit-learn while leveraging classification, sequence modeling, and NLU with full cross-validation before anything reaches production. I work well with clients who have hard problems, messy data, and need someone who can explain what the model is doing and why. 📩 Message me and I'll respond as soon as possible with a straight answer on whether I can help and what the approach looks like. Let's build something big together! 🚀

Top-Rated AI/ML Engineer with 7+ years building intelligent, scalable web applications and AI-powered automation systems. I specialize in integrating Large Language Models (LLMs), machine learning pipelines, and conversational AI into production-grade platforms across healthcare, finance, eCommerce, SaaS, and logistics. Core Expertise: - AI/ML Development: Python, TensorFlow, PyTorch, OpenAI API, LangChain, Hugging Face, scikit-learn, RAG pipelines, vector embeddings, prompt engineeringPython, - Chatbots & Conversational AI: AI agent development, NLP, intent classification, multi-turn dialogue systems, automated workflow routing - Full-Stack Development: Ruby on Rails, Node.js, FastAPI, React.js, Vue.js, Angular, REST APIs, GraphQL, microservices - Backend & Databases: PostgreSQL, MySQL, MongoDB, Neo4j, Redis, SQL, NoSQL, scalable architecture - Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD, MLflow, Airflow - Automation & Integration: n8n, Zapier, Make(Dot)com, API integrations, webhook handling, ETL pipelines Key Projects: - OmniBot – AI-powered HR automation chatbot processing 10,000+ documents with multi-agent coordination and intelligent routing - AI-Driven PC Part Compatibility Chatbot – ML-based recommendation engine using Random Forest and SVM - Employee Attrition Prediction Chatbot – Predictive modeling with EDA and feature engineering for workforce insights - AI Mechanical Advisor – RAG-based car parts chatbot with intelligent database search and expert recommendations - I deliver end-to-end AI solutions, from data preprocessing and model development to deployment and optimization, combining clean code, modular architecture, and performance-first engineering with cutting-edge AI capabilities. Top-Rated Plus | $400K+ Earned | 100% Job Success | 12,565+ Hours | 0-4 Hour Response Time

Need data extracted from complex websites, AI workflows automated, or an LLM-powered application built? I help startups and businesses automate workflows, extract data at scale, build AI-powered AI applications, and deploy reliable Python systems in production. I focus on delivering real, working systems that save time, reduce manual effort, and scale reliably. ──────────────────────────── What I Can Help You With • Saved hours of manual work through automation • Built production-ready web scraping systems • Developed AI assistants powered by GPT and RAG pipelines • Automated data pipelines processing thousands of records • Delivered reliable APIs used in production environments ──────────────────────────── AI & LLM Engineering OpenAI | Claude | Azure OpenAI | Prompt Engineering | LangChain | RAG | Vector Databases | FAISS | Pinecone | AI Agents | ChatGPT | GPT-4 | OpenAI API | Claude API | CrewAI | AutoGen | MCP (Model Context Protocol) ──────────────────────────── Python Development Python | FastAPI | Django | REST APIs | Automation | API Integration | Backend Development | Web Services Selenium | Playwright | Scrapy | BeautifulSoup | Browser Automation | Web Crawling | Data Extraction ──────────────────────────── Data Engineering ETL | Airflow | Kafka | Pandas | SQL | MongoDB | Data Pipelines | Data Processing ──────────────────────────── Cloud & DevOps AWS | Azure | Docker | CI/CD | RunPod | GPU Cloud | Deployment | Monitoring ──────────────────────────── Core Services ✔ Web Scraping & Data Extraction ✔ Browser Automation ✔ Lead Generation Systems ✔ AI Chatbots & AI Agents ✔ RAG Systems (Retrieval-Augmented Generation) ✔ GPT / LLM Integrations ✔ API Development (FastAPI) ✔ Backend Automation Systems ──────────────────────────── Why Work With Me ✔ Clean, maintainable, production-ready code ✔ Fast communication and clear updates ✔ Scalable systems built for real-world use ✔ Focus on reliability and long-term maintainability ──────────────────────────── Let’s Work Together If you're looking for a Python & AI engineer who can automate workflows, extract complex data, or build production-ready AI systems, feel free to invite me to your project.

I am a Top 3 percent developer on Upwork with the Pink badge, helping clients build native mobile apps that feel smooth, reliable, and truly built for the platform. I build end-to-end AI and machine learning systems that move from research-grade models to production-ready, scalable solutions. My work focuses on combining deep learning, data pipelines, and deployment infrastructure to deliver systems that are accurate, efficient, and reliable in real-world environments. I specialize in designing solutions where models are not isolated components but part of a larger intelligent system architecture. 🔹 Core Expertise Machine Learning & Deep Learning Supervised and unsupervised learning, classification, regression, clustering Deep learning architectures including CNNs, RNNs, Transformers Model optimization, hyperparameter tuning, and performance benchmarking Training pipelines for structured, unstructured, and multimodal data Computer Vision Image classification, object detection, segmentation, and tracking Architectures like YOLO, ResNet, EfficientNet, Vision Transformers Video analytics and real-time inference systems Data augmentation, annotation workflows, and dataset engineering Natural Language Processing Text classification, entity recognition, summarization, and semantic search Transformer-based models like BERT, GPT, and custom fine-tuned models Embedding generation and similarity-based retrieval systems End-to-end NLP pipelines for enterprise use cases 🔹 AI System Engineering I focus heavily on how models behave outside notebooks and inside production systems. Data preprocessing pipelines and feature engineering workflows Batch and real-time inference architectures API-based model serving using FastAPI and Flask Microservices-based AI system design Integration with external systems like CRMs, SaaS platforms, and analytics tools 🔹 Model Deployment & MLOps Model deployment on AWS, GCP, and Azure with scalable infrastructure Containerization using Docker and orchestration using Kubernetes CI/CD pipelines for automated training, testing, and deployment Model versioning, monitoring, and performance tracking Handling concept drift, retraining strategies, and lifecycle management 🔹 What I Build Computer vision systems for detection, tracking, and visual intelligence NLP systems for document processing, search, and conversational understanding End-to-end ML pipelines from data ingestion to model deployment Real-time AI systems with low latency and high throughput AI-powered applications integrated into web and mobile platforms 🔹 My Approach I treat every project as a production system from day one. Focus on scalability, reliability, and maintainability Design for edge cases and noisy real-world data Balance model accuracy with latency and cost constraints Build modular pipelines that can evolve over time 🔹 Differentiation Strong combination of deep learning expertise and engineering execution Experience handling real-world data challenges like imbalance, noise, and scale Ability to convert research ideas into deployable systems End-to-end ownership from data to deployment 🔹 Tech Stack Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, Hugging Face, FastAPI, Flask, Docker, Kubernetes, AWS, GCP, Azure If you are looking to build robust AI systems, not just models, I can help you design, develop, and deploy solutions that work reliably at scale. Let us build intelligent systems that perform beyond the lab.

💼 𝟏𝟐+ 𝐘𝐞𝐚𝐫𝐬 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 📈 𝟏𝟏𝟏𝟖𝟓+ 𝐇𝐨𝐮𝐫𝐬 𝐁𝐢𝐥𝐥𝐞𝐝 💰 $𝟏𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐢𝐧𝐠𝐬 👨‍💻 Searching for a high-impact 𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋, 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 , 𝐑𝐞𝐚𝐜𝐭.𝐣𝐬 𝐏𝐫𝐨, 𝐌𝐋𝐎𝐏𝐬, or 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭? Your search ends here! 🚀 # 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ## 🧠 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, OpenCV, BeautifulSoup, FastAPI, Flask, Django 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: PyTorch, TensorFlow, Keras, HuggingFace Transformers 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐌𝐋 & 𝐀𝐈: Natural Language Processing (NLP), Computer Vision (CV), Recommender Systems, Predictive Analytics, Time Series Forecasting 𝐌𝐨𝐝𝐞𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: LoRA, QLoRA, PEFT, Transfer Learning, RLHF, DPO, SFT, Custom Dataset Fine-Tuning 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GPT-3.5 / GPT-4 / GPT-4o, Gemini (Gemini 1.5 Pro / Flash), Claude, ChatGPT, DALL-E, Whisper, LangChain, AutoGen, CrewAI, Amazon Bedrock, Ollama, Google Vertex AI ## 🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI, Azure AI Speech, Riverside SDK 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: AutoGPT, BabyAGI, LangChain Agents, AutoGen Agents ## 🧩 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-Turn Prompts, Few-Shot Learning, Zero-Shot Learning, Chain-of-Thought (CoT), Advanced Prompt Optimization 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma, Bloom, Orca Mini, Guanaco 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: LangChain, LlamaIndex, Pinecone, FAISS, ChromaDB, Qdrant, Weaviate, Milvus 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Vector Databases, Semantic Search, Document Indexing, Knowledge Retrieval Systems 𝐋𝐋𝐌 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠: Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker Training 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, SKPilot 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, PTQ, DQ ## ⚙️𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: FastAPI, Flask, Django, Node.js, Express.js, NestJS, Spring Boot, C# 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: REST APIs, GraphQL APIs, gRPC, Microservices, Event-Driven Systems, secure API design with JWT, OAuth2, OpenID Connect, Amazon Cognito. 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 & 𝐖𝐞𝐛 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: React.js, Next.js, TypeScript, Redux Toolkit, Tailwind CSS, Three.js 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Kubernetes, Redis, Nginx, Linux (Ubuntu, CentOS), CI/CD Pipelines 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, Lambda, S3, API Gateway, Cognito, ECS/Fargate, RDS, DynamoDB), Google Cloud Platform, Azure, RunPod, Vercel AI SDK ## 🤖 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: RunwayML, MidJourney, StabilityAI 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Zapier, Make (Integromat), n8n, Synthflow 𝐂𝐑𝐌 & 𝐒𝐚𝐚𝐒 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Pipedrive, HubSpot, Zoho, GoHighLevel, ClickUp, Monday 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐈 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: AI Agents, Multi-Agent Systems, AI Workflow Orchestration, Robotic Process Automation (RPA) 𝐌𝐮𝐥𝐭𝐢-𝐌𝐨𝐝𝐚𝐥 𝐀𝐈: Text-to-Video, Image-to-Text, Speech-to-Image ## 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 SQL & NoSQL Databases: PostgreSQL, MySQL, SQL Server, MongoDB, Firebase, Firestore, Airtable, Knack, DynamoDB 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: ETL Pipelines, Data Warehousing, Data Lake Architecture, Real-Time Analytics ✔ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧: I drive projects with Agile principles, leveraging Scrum and sprint cycles to ensure fast, efficient, and high-quality delivery. 💬 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 I’m responsive, proactive, and always ready to dive into new ideas. 📩 Drop me a message, and let’s build something impactful together.

Experienced AI Developer | Published Researcher | Welcome to my profile! I'm an accomplished AI Developer with a strong academic background and practical experience in crafting innovative solutions. With a Master's degree in Electrical Engineering and two years of hands-on expertise, I bring a unique blend of academic rigor and industry know-how to every project. Strengths and Skills: My journey in the AI landscape has been marked by continuous learning and impactful contributions. I specialize in both machine learning and deep learning, allowing me to tackle a wide spectrum of challenges. From classification and regression problems to supervised and unsupervised learning, my skill set spans a diverse array of applications. I've excelled in image classification, image segmentation, and object detection, consistently delivering results that matter. Published Researcher: My dedication to advancing the field of AI is underscored by my three published research papers. These papers explore a range of topics, bridging the gap between theory and practice. This unique perspective enhances my ability to devise innovative strategies and deliver solutions that are rooted in academic insights. Deployment Expertise: Navigating the complexities of AI deployment is where experience truly shines. I've successfully deployed AI models on edge devices, ensuring optimal performance even in resource-constrained environments. Additionally, I'm well-versed in deploying models on cloud platforms, harnessing the power of scalability and accessibility. Deep Learning Frameworks and Expertise: I'm proficient in a variety of deep learning frameworks, including TensorFlow and PyTorch. My codebase is grounded in Python, allowing me to seamlessly implement, optimize, and fine-tune complex models. This fluency ensures that I can bring your AI vision to life effectively. If you're seeking an AI Developer who brings both academic depth and industry practicality to your project, I'd love to connect. Let's collaborate on creating solutions that redefine possibilities in the realm of AI.

🚀 I design and deploy AI-powered solutions and secure cloud architectures across AWS, GCP, and Azure. From LLMs and vector embeddings to full MLOps pipelines, I bring AI into production using scalable, cloud-native infrastructure. 💡 Expertise in LLM fine-tuning, generative AI, and MLOps 🔐 Skilled in DevOps, cloud security, and infrastructure as code 🧠 Experience with OpenAI, LangChain, Hugging Face, and cloud AI tools 📞 Clear communication and end-to-end project execution 💬 Let’s build intelligent, cloud-ready systems—fast and securely.

I build AI agents and automation systems that help businesses save time, reduce manual work, and connect AI with real tools, data, APIs, and workflows. My work focuses on practical AI products — not just demos. Whether you need an AI voice receptionist, RAG chatbot, document assistant, workflow automation agent, internal AI tool, or an AI system connected to CRMs, Google Sheets, databases, dashboards, or third-party APIs, I can help design, build, test, and deploy it. What I can build for you: • AI agents that use tools, call APIs, and complete business tasks • Voice AI agents for reception, support, appointment booking, and lead intake • RAG chatbots for PDFs, websites, knowledge bases, and internal documents • Workflow automation using Python, FastAPI, APIs, n8n/Make/Zapier-style systems • LLM applications using OpenAI, Claude, Llama, Hugging Face, and other models • AI-powered web apps, internal tools, and SaaS features • Computer vision and Edge AI systems using YOLO, OpenCV, PyTorch, ONNX, TensorRT, Jetson, and Hailo Technical stack: Python, FastAPI, LangChain, CrewAI, OpenAI API, Claude, Llama, Hugging Face, Whisper, Pinecone, Chroma, FAISS, PostgreSQL, Docker, AWS, GCP, PyTorch, TensorFlow, OpenCV, YOLO, ONNX, TensorRT, Jetson, and Hailo. Why clients work with me: • Top Rated Upwork freelancer with 100% Job Success • 4+ years of hands-on AI/ML engineering experience • Experience across AI agents, LLMs, voice AI, RAG, computer vision, medical AI, and edge deployment • Full AI product pipeline: planning, architecture, backend, model/API integration, testing, deployment, and documentation • Clear communication, milestone-based delivery, and practical engineering decisions Recent work includes voice-enabled AI agents, RAG/document chatbot systems, medical AI models, computer vision pipelines, PyTorch model optimization, ECG/signal-processing applications, and real-time Edge AI deployment. If you need an AI agent, voice assistant, RAG chatbot, automation workflow, computer vision system, or Edge AI product that is reliable and production-ready, I can help you build it from idea to launch.