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I'm passionate about building intelligent software that combines Machine Learning, Generative AI, and scalable backend systems. I enjoy transforming ideas into production-ready applications that solve real-world problems. |
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- Building AI-powered applications with LLMs, RAG, and AI Agents.
- Developing scalable backend services using FastAPI, PostgreSQL, Redis, and Celery.
- Currently exploring MLOps, Kubernetes, and System Design.
- Passionate about hackathons and solving real-world problems through AI.
- Ask me about Python, Machine Learning, FastAPI, LLMs, or Backend Development.
- Languages: Python • Go • Java • SQL • C
- AI & Machine Learning: Machine Learning • Deep Learning • NLP • Computer Vision • Generative AI • LLMs • RAG • Prompt Engineering
- Frameworks & Libraries: FastAPI • Streamlit • TensorFlow • Scikit-learn • LangChain • LangGraph • Pandas • NumPy • OpenCV • Librosa
- Backend: REST APIs • Gin • Pydantic • Celery • JWT Authentication • RBAC
- Databases: PostgreSQL • MySQL • Redis • ChromaDB • FAISS
- MLOps & DevOps: Docker • Kubernetes • MLflow • DVC • GitHub Actions • Prometheus • Grafana
- Cloud & Tools: AWS • Git • Linux • Postman • VS Code • Jupyter Notebook
AI-powered multilingual railway announcement system using FastAPI, PostgreSQL, Celery, Redis, Gemini AI, and Sarvam AI.
A RAG-powered GitHub repository assistant for semantic code search and repository exploration.
An AI recommendation engine built with LangGraph, FAISS, Gemini, FastAPI, and Docker.
- AI Agents & Agentic Workflows
- MLOps & Cloud-Native AI
- Scalable Backend Architecture & System Design