An AI enthusiast with a builderβs mindset β I love turning ideas into intelligent systems, data into decisions, and models into real-world products. From training ML models to orchestrating AI agents, I enjoy working at the intersection of logic, creativity, and impact.
πΉ π§ Machine Learning & Deep Learning β prediction, classification, and beyond
πΉ π€ Generative AI & Agentic Systems β LangGraph, LangChain, RAG workflows
πΉ π Data + Algorithms β strong foundations in DSA and mathematical thinking
πΉ π οΈ MLOps & Deployment β taking models from notebook to production
πΉ π± Applied AI β solving real problems, not just building demos
πΉ π Languages: Python, C++
πΉ π€ ML/DL: TensorFlow, Scikit-learn, XGBoost, CNNs (VGG16)
πΉ π§© GenAI & Agents: LangGraph, LangChain, Vector Databases
πΉ π¦ MLOps: MLflow, DVC, Docker, CI/CD
πΉ π Backend & Apps: FastAPI, Streamlit
πΉ βοΈ AWS for scalable ML deployment
πΉ π€ Advanced GenAI systems & multi-agent workflows
πΉ π§ Building production-ready AI products
πΉ β€οΈ CardioCare AI β heart disease prediction & recommendations
πΉ π AI Resume Analyzer β intelligent resume screening & interview prep
πΉ πΎ Crop Advisory System β ML-powered agricultural insights
πΉ π Lovable Clone β agent-based AI using LangGraph
πΉ π― Collaborations on Generative AI, NLP, and ML deployment
πΉ π¬ Tech discussions, project ideas, and problem-solving
πΉ π οΈ Building meaningful AI products together
I enjoy building AI systems so much that debugging feels like a puzzle, not a problem π