I'm a B.Tech Computer Science student at Mahindra University, Hyderabad (class of 2028), focused on machine learning and computer vision. I head the AI/ML Committee at Enigma, our university's technical society, and lead the ML/CV division of our AUV team, where we're building an autonomous underwater vehicle for SAUVC 2027. Here at the DevFest to learn from the community, meet people building in AI, and share what we're working on. Always happy to talk about computer vision, autonomous systems, or running student tech communities.
Software Development Intern
JSW infrastructure
Product Engineering Intern
UrbanDart
Self-Supervised Image Super-Resolution
Trained a custom SRResNet (PixelShuffle, residual learning, perceptual loss), fully self-supervised via a randomized degradation pipeline. An ablation on degradation realism improved PSNR from 24.97 to 25.61 (SSIM 0.647 to 0.675).
TerraCrop, On-Orbit Satellite Crop Intelligence
Built the autoencoder compression pipeline for a 3-person satellite crop-segmentation system, cutting downlink size 466,000x (about 700 MB to 1.5 KB). Also built the Streamlit demo and CLI integrating the team's fine-tuned TerraMind model.
EEG-to-Image Decoding (NeurIPS 2026 EEG/EMG Foundation Challenge, Track 1)
Fine-tuned the REVE EEG foundation model, aligned to frozen DINOv2 image embeddings with a CLIP-style loss, to retrieve the viewed image from a single EEG epoch. In multi-seed ablations, REVE roughly doubled EEGNet's top-5 accuracy (17.4% vs 8.4%, 3 seeds).
Computer science
Mahindra University
Attendee · Oct 24, 2026