- AI & ML: LangChain, OpenAI API, LlamaIndex, Pinecone, FAISS, Vector Databases
- Backend: FastAPI, Flask, Django, Node.js (Express), PostgreSQL, MongoDB, Redis
- Frontend: Next.js, React, TypeScript, TailwindCSS, shadcn/ui
- DevOps & Cloud: Docker, AWS, Vercel, GitHub Actions, CI/CD, Kubernetes
- Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis)
- Other: Web Scraping, APIs, Microservices, Authentication (JWT, OAuth, SSO)
- 🚀 Building Agentic AI systems to enhance automation & reasoning capabilities.
- 🧠 Developing RAG pipelines for smarter AI knowledge retrieval.
- 🎨 Crafting seamless UIs with Next.js, React, and TailwindCSS.
- 🏗️ Architecting scalable FastAPI/Django backend solutions.
- 🔍 Experimenting with Vector DBs for efficient AI search & retrieval.
- Full-fledged resume builder with AI-enhanced capabilities.
- Supports multiple user-authenticated profiles.
- Built using FastAPI backend & Next.js frontend.
- Utilizes SQL database for structured data management.
- Context-aware, multi-turn conversational AI.
- Implements Retrieval-Augmented Generation (RAG).
- Uses LangChain, OpenAI, and Vector Databases.
- Deployed on FastAPI & Vercel.