Full Stack Developer transitioning into AI Engineering, with 3+ years of experience building and shipping production web applications using React, Next.js, Node.js, TypeScript, Express.js, MongoDB, and Python.
Currently expanding into Generative AI and LLM application development, focusing on Python, LangChain, RAG, embeddings, vector databases, prompt engineering, and AI-powered applications.
- 🚀 Building production-grade Full Stack applications
- 🤖 Exploring Generative AI, LLMs, RAG & AI Agents
- 🐍 Building AI applications with Python
- ⚛️ Strong experience with React, Next.js, TypeScript & Node.js
- 🔌 Experienced in designing and integrating REST APIs
- 🗄️ Working with MongoDB, PostgreSQL & Redis
- ☁️ Experience with AWS, Docker & CI/CD
- 🧠 Learning and implementing LangChain, LangGraph, vector databases & RAG pipelines
- 🤗 Exploring Hugging Face and modern LLM tooling
- 🛠️ Building practical AI-powered projects
- 🤝 Open to Full Stack Developer, AI Engineer & GenAI Developer opportunities
📫 Email: praneethrms04@gmail.com
| 💻 Full Stack Development | React, Next.js, TypeScript, Node.js, Express.js & MongoDB |
| 🐍 Python Development | Python for AI/GenAI applications, automation, APIs & data processing |
| 🤖 AI Engineering | LLM applications, RAG, embeddings, prompt engineering & AI workflows |
| 🧠 LLM Ecosystem | LangChain, LangGraph, Gemini, OpenAI & Hugging Face |
| 🔎 RAG & Retrieval | Document loaders, text splitting, embeddings, vector search & retrieval |
| 🗃️ Vector Databases | ChromaDB, Pinecone, FAISS & Weaviate |
| 🔌 API Development | REST APIs, authentication, third-party integrations & backend services |
| 🗄️ Data & Infrastructure | MongoDB, PostgreSQL, Redis, AWS, Docker & CI/CD |
| ⚡ Performance | Optimized API calls, caching, debounced search & efficient data fetching |
| 🎨 Frontend Engineering | React, Next.js, Tailwind CSS, Redux Toolkit, Zustand & reusable components |
| 📄 Document Processing | PDF/DOCX processing, document preview, editing & AI-powered document workflows |