Headline

AI/ML Engineer | LLMs, RAG & Computer Vision | National Hackathon Winner | Building Real AI Products

About

I’m an AI/ML engineer focused on building reliable, real-world AI systems—not just models. My work lies at the intersection of Machine Learning, LLMs, and system design, with a strong emphasis on interpretability and zero-hallucination architectures. I’ve built: • An anomaly detection pipeline for student behavioral analysis (mental health use case) • A RAG-based legal citation system ensuring verifiable outputs • An AI-generated text detector (National Hackathon Winner) • Computer vision systems for autonomous robotics (ISRO IROC-U Semi-finalist) I prefer designing systems where every output can be trusted and explained—especially in high-stakes domains like healthcare and law. Currently pursuing B.Tech in AI & ML (RUAS) and BS in Data Science (IIT Madras). Open to AI/ML internships and opportunities in: • Applied Machine Learning • LLM Engineering / RAG Systems • AI Product Development Let’s build something impactful.

Location

Greater Bengaluru Area

AI stack

hugging face

langchain

langgraph

openai

Work experience

Data Science Intern at Innovate Intern, Sep 2024 - Oct 2024 · 2 mos, Bengaluru, Karnataka, India, Data Science & Analytics Intern INNOVATE INTERN | Sep – Oct 2024 Developed a machine learning model to predict urban traffic patterns as part of a certified 4-week internship. The project, “Predictive Modeling for Road Traffic Management”, involved real-world data analysis, feature engineering, and supervised learning techniques to forecast congestion and optimize traffic flow.

Education

Bachelor of Technology - BTech, Artificial Intelligence, M. S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES

Bachelor of Science - BS, Data Science, Indian Institute of Technology, Madras