AI/ML Engineer · Full-Stack Developer · B.Tech CS @ SGGSIE&T Nanded
I build production-ready AI systems and full-stack products end-to-end — from training models to shipping real applications. Not just coursework. Real numbers. Real impact.
I'm a 3rd-year Computer Science undergraduate at SGGSIE&T Nanded with a Minor in Data Science. My work sits at the intersection of AI/ML research and production engineering — I build systems that don't just demo, they deploy.
From a real-time medical voice agent with <500ms latency to an 87% accurate tumor detection classifier, every project I ship has measurable impact behind it.
Certified by JPMorgan Chase & Co. in Software Engineering and Deloitte × TATA in Data Analytics. Actively solving DSA on LeetCode across arrays, DP, graphs, and more.
Everything I use to build, ship, and scale.
Production-grade. Numbers-backed. Real impact.
Full-stack AI voice assistant for real-time patient consultations. Built with a low-latency STT pipeline, LLM-driven differential diagnosis, and structured JSON outputs for clinical documentation — reducing intake time by 45%.
Binary ML classifier distinguishing malignant vs. benign tumors from medical imaging data. Implemented a full feature extraction pipeline with normalization, augmentation, and 5-fold cross-validation for clinical-grade accuracy.
Full-stack learning management system with an AI-powered recommendation engine that dynamically re-ranks course content based on behavioral patterns and progress tracking. Tested across 320px to 1920px with zero layout breakage.
Open to AI/ML and Software Engineering internships. Let's build something that matters.