Building, deploying, and optimizing end-to-end intelligent systems, autonomous agent workflows, and production RAG pipelines.
- 🎓 Computer Science & Engineering student at IUBAT
- 🤖 Specializing in Generative AI, Autonomous Multi-Agent Workflows, and Enterprise RAG Systems
- 📊 Proficient in Python, LangChain, LangGraph, CrewAI, LlamaIndex, Vector DBs, FastAPI, and Docker
- 🔍 Experienced in Hybrid Vector Search, Context Reranking, Agentic Routing, and MLOps
- 🛠️ Architecting containerized AI microservices and production-ready machine learning pipelines
- 🚀 Experimenting with Model Context Protocol (MCP), n8n automation, MLflow, and DVC
- 🌱 Continuously bridging the gap between cutting-edge AI research and scalable software applications
- 🎯 Goal: Deliver high-impact, production-grade AI solutions and autonomous systems globally
Python • FastAPI • Flask • SQL • RESTful Architecture
LangChain • LangGraph • CrewAI • LlamaIndex • AutoGen • Prompt Engineering
ChromaDB • Pinecone • FAISS • Embeddings • Hybrid Search
Pandas • NumPy • Scikit-learn • PyTorch • Matplotlib • Seaborn
Docker • MLflow • DVC • Git • GitHub • AWS Basics • Streamlit
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AI-Powered Voice Assistant A Python-based intelligent voice assistant that listens to commands, processes them using Google's Generative AI APIs, and responds with synthesized speech. Features speech recognition, web automation, Wikipedia search, and smart AI conversation capabilities.
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Role-Based AI Assistant A modular, Gemini-powered AI assistant featuring persistent conversation memory and dynamic role-based behaviors (Tutor, Coding Assistant, Career Mentor). Features customized system prompts and adaptive user interactions.
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Explore more of my work in my repositories! |