I am a Data Science & AI Engineer with expertise in:
- 🤖 AI Agents (LangChain, LangGraph, CrewAI)
- 🔍 RAG-Based Systems & Retrieval Pipelines
- 🧠 Machine Learning & Deep Learning (CNN, NLP, Transformers)
- 🎤 Voice & Multimodal AI Applications
- ☁️ Cloud (Azure, AWS)
- 🌐 Backend & API Development (FastAPI, Streamlit)
I build smart, scalable AI systems that solve real-world problems — from multi-agent workflows to semantic retrieval engines and voice-enabled assistants.
Python • PyTorch • TensorFlow • Scikit-Learn • Transformers • BERT • LLaMA • Gemini • OpenAI • LangChain • LangGraph • CrewAI
RAG Pipelines • MCP • ACP • Vector Databases (FAISS, ChromaDB) • Embeddings • Multi-Agent Orchestration
Model Deployment • Model Monitoring • Experiment Tracking • Pipeline Automation • Model Versioning
Azure • AWS • Docker • GitHub Actions • CI/CD
FastAPI • Streamlit • Postman • Git • GitHub
- Google Advanced Data Analytics Specialization
- Fundamentals of AI Agents Using RAG and LangChain
- Building Autonomous AI Agents with LangGraph
- Practical Multi AI Agents and Advanced Use Cases with crewAI
- Finetuning Large Language Models
- Attention in Transformers: Concepts and Code in PyTorch
- Transformer Models & BERT
- MLOps Concepts
- MLOps Deployment and Life Cycling
- Git & GitHub
- ChatGPT + Zapier: Agentic AI Automation
I develop intelligent AI systems that bridge the gap between cutting-edge research and practical business solutions. Beyond Generative AI, I have expertise in Machine Learning and Deep Learning, creating end-to-end solutions from traditional ML models to advanced neural networks. I create autonomous agents that can reason, collaborate, and execute complex workflows while maintaining reliability and scalability.
⭐ Open to collaboration on innovative AI projects and research opportunities!