Final-year engineer at the intersection of deep learning, embedded systems & real-world products. Building things that actually ship.
Final-year B.Tech student in Electrical & Electronics Engineering with a minor in AI/ML at Amrita Vishwa Vidyapeetham, Bangalore. My work spans BCI systems, power grid protection algorithms, multimodal deep learning, and full-stack applications.
Published research on power distribution islanding using Prim's algorithm and built carbon-aware Kubernetes autoscalers. Currently exploring the creator economy through products like CrewMatch.
25+ vision-language architectures on WikiDO. ViT + DeBERTa ~97% F1. Denoising autoencoders for 768→384 compression + T5 caption correction.
Multi-objective Kubernetes scheduling. Hybrid WMA/ARIMA. 156+ cycles, zero violations.
Real-time BCI using LightGBM + XGBoost + RF stacking ensemble for game control.
Full-stack Android video chat with React Native, Node.js/Socket.io and WebRTC.
Power distribution islanding detection using Prim's MST. ICAISS 2025.
Open to research collaborations, internships, freelance engineering, and conversations about products worth building.