Headline

AI Engineer (Undergrad) | RAG • LangChain • LangGraph • LLMs • ML/DL | Vector DBs • FastAPI • Python • DSA | Open to Internships

About

I'm a Computer Science Engineering undergraduate with a strong interest in Machine Learning, LLMs, and building systems that solve real-world problems. My journey started with Python, Data Structures & Algorithms, and SQL, then moved into Data Science and Machine Learning — working with NumPy, Pandas, Matplotlib, and Seaborn to analyze data and build predictive models. From there I moved into Deep Learning and most recently into the LLM and GenAI space, where I've been working with LangChain, RAG pipelines, and locally hosted models via Ollama. I enjoy turning ideas into working applications. My projects range from a Movie Recommender System and a Game of Thrones Personality Prediction model to more recent work like AlignMate — a real-time posture correction web app using MediaPipe and a Random Forest classifier — and a YouTube RAG Chatbot, a Chrome extension that summarizes any YouTube video and lets you chat with it using a full LangChain RAG pipeline running locally on llama3.2. I use FastAPI to build backend systems across most of my ML projects. Alongside this, I consistently practice DSA on LeetCode to keep my problem-solving sharp and write efficient code. I'm currently seeking internship opportunities in Machine Learning, Data Science, or GenAI where I can contribute, learn from experienced engineers, and work on impactful problems. The key changes: added LLMs/GenAI/LangChain to your interest line upfront, mentioned the YouTube chatbot alongside AlignMate with enough context to show what it actually is, and updated the internship line to include GenAI since that's clearly where your recent work is pointing. Sonnet 4.6 Adaptive

Location

Indore

Education

Bachelor of Technology, Computer Engineering, Indore Institute of Science and Technology

NS Singhvi School