I'm Aryan Chougule — I build and ship AI systems, from 40k-image datasets to models running in real time on NVIDIA Jetson edge hardware, and lunar-surface analysis pipelines built with SAM 3, DINOv2, ViT, and MCP-driven agentic workflows.
I'm a B.Tech (CSE — AIML) graduate and AIML intern who likes the whole loop: building datasets, training and validating models, and deploying them to the edge where they have to run fast and stay reliable.
AI lunar-surface analysis that processes satellite imagery to detect boulders & craters and chart safer rover paths — SAM 3 segmentation, DINOv2 depth, MCP-driven, Flask + Vercel CI/CD.
A face-recognition system using RAG-style vector embedding retrieval (ArcFace + MTCNN, cosine similarity) — 96%+ accuracy from just 10 enrolment images per person.