Headline

Ex-AI/ML Intern at iNeuron.ai

About

I don't just build ML models — I ship them. In the last two years, I've gone from academic projects to building production-grade AI systems that handle real data, real latency constraints, and real users. My focus sits at the intersection of LLMs, RAG pipelines, and MLOps — where the hard work actually happens. 🔬 What I've built: • A RAG-powered PDF knowledge engine using LangChain + Groq + ChromaDB — achieving 0.92 faithfulness score and 1.44s end-to-end latency, fully containerized with Docker and tracked via MLflow. • Satellite image threat detection with YOLOv8 — applying computer vision to high-stakes classification problems. • Credit risk and loan approval prediction models, deployed as REST APIs using Flask. • A medical liver segmentation model (U-Net architecture) published in the International Journal of Science & Engineering Development Research. • A real-time mask detection system — published in the International Journal of Engineering and Creative Science. 🛠️ My stack: Python · LangChain · Groq · ChromaDB · Flask · Docker · MLflow · DVC · AWS · Azure · Scikit-learn · TensorFlow · YOLOv8 · OpenCV 📐 How I work: I care deeply about evaluation — faithfulness scores, retrieval quality, latency benchmarks. I use MLflow to track experiments and Docker to make deployments reproducible. Every project I ship has CI-ready structure and documentation. 🎓 B.Tech. in Artificial Intelligence — G H Raisoni Institute of Engineering and Technology, Nagpur (2019–2023) If you're building an AI-powered product and need someone who can take it from prototype to production — let's connect.

Location

Pune Division

AI stack

claude

codex

cursor

Work experience

AI/ML Intern at aiadventures, Jun 2026 - Present · 2 mos, Pune City

AI/ML Intern at iNeuron.ai, May 2024 - Feb 2025 · 10 mos, Online

Education

Bachelor's degree, Artificial Intelligence, G h Raisoni institute of engineering and technology Nagpur