Headline

Ex-Intern @ Airtel | Software Engineer & GenAI Developer | Full Stack MERN | RAG, LangChain, Python, Redis | MNIT Jaipur

About

I love building AI systems that people actually use — not just models that sit in notebooks. I’m a final-year student at MNIT Jaipur and a Software Engineer focused on Full Stack Development, GenAI, and scalable backend systems. I enjoy solving real-world problems using MERN, Python, Redis, LangChain, and modern AI tooling. From building real-time collaborative platforms to deploying production-ready AI applications, I’m driven by creating products that are fast, useful, and impactful. During my internship at Airtel, I developed a multilingual GenAI chatbot that handled 500+ queries/day while reducing response latency by 35% using a RAG pipeline with Redis, ChromaDB, and Gemini. I also improved semantic search accuracy, optimized caching systems, and reduced hallucinated responses through fallback pipelines. Beyond internships, I’ve built a real-time collaborative coding platform with sub-100ms synchronization and scalable backend architecture supporting 100+ concurrent users. I’m currently looking for Software Engineering and AI/ML opportunities where I can work on high-impact products, distributed systems, GenAI applications, and scalable infrastructure. Long term, I want to build intelligent developer tools and AI systems that improve how people learn, collaborate, and work.

Location

Greater Jaipur Area

AI stack

codex

cursor

opencode

Work experience

Software Programming Intern at VLSIFlow, Jan 2026 - Mar 2026 · 3 mos

AI Intern at airtel, May 2025 - Jul 2025 · 3 mos, Gurugram, Developed a multilingual AI chatbot during my internship at Airtel using Streamlit, Gemini, and HuggingFace to handle real-time user queries efficiently. Designed and implemented a RAG-based pipeline using Redis, ChromaDB, and Gemini to improve response quality and system performance. Built supporting features such as file processing for documents and caching mechanisms with Redis to enable smooth multi-turn conversations and efficient data retrieval.

SmartSupport AI Chatbot at airtel, May 2025 - Jul 2025 · 3 mos, Developed a multilingual chatbot using Streamlit, Gemini 1.5 Flash, and HuggingFace, handling 500+ queries/day with low response times. Architected a RAG pipeline (Redis → Chroma DB → Gemini), reducing response latency by 35%. Improved semantic search accuracy by 25% using RecursiveCharacterTextSplitter and optimized embeddings. Engineered a file pipeline (PDF/CSV) with auto-indexing and metadata-based deletion, reducing effort by 60%. Implemented Redis caching and session memory to support multi-turn chats, reducing API calls by 40%. Reduced hallucinated responses by 30% by implementing a fallback pipeline (cache → vector DB → LLM).

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, Malaviya National Institute of Technology Jaipur

Senior Secondary School, MATRIX, Sikar