- 🔭 Currently focused on Machine Learning, Deep Learning & GenAI applications
- 📊 Strong foundation in data cleaning, visualization, and predictive modeling
- 🛠️ Experienced in building dashboards, APIs, and scalable ML pipelines
- 🌱 Always learning — currently exploring advanced RAG systems & LLM applications
- 🏏 Outside tech, I enjoy playing cricket and analyzing strategies like a data problem
- 💬 Ask me about ML, DL, Data Analysis, or FastAPI
Machine Learning: Regression • Classification • Clustering • Model Evaluation Deep Learning: CNN • RNN • GANs • Autoencoders
 Deep Learning |
 Data Analytics (DAMP) |
 Docker |
 FastAPI |
| Project | Description | Stack |
|---|---|---|
| 🤖 Multi-Source-RAG-App | RAG app that ingests PDFs, text, websites & YouTube videos for Q&A and summarization | Streamlit • LangChain • FAISS • Groq |
| 🔍 Text-to-SQL-Agent | LangChain ReAct agent that turns natural-language questions into validated SQL and auto-generates charts | FastAPI • PostgreSQL • Groq • Docker |
| 🧭 LangGraph-AI-Agent | Multi-provider AI chatbot with optional live web search, built on a LangGraph ReAct agent | LangGraph • FastAPI • Groq • Gemini • Tavily |
| 🏠 House-Price-Prediction | End-to-end XGBoost regression app with a REST API and dark-mode frontend | FastAPI • XGBoost • Docker • CI/CD |
🔗 Each project ships with Docker, CI/CD via GitHub Actions, and a live deployment — check the repo READMEs for demo links.
🏏 I enjoy cricket and love analyzing strategies like a data problem!