BTech CSE (AI/ML) · Polaris School of Technology
Builder focused on local AI infrastructure, agentic systems, and full-stack development. I run LLMs locally on consumer hardware and build production-quality systems on top of them — from MoE routing layers to real-time neural network observatories.
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MoE-inspired local LLM routing layer Decomposes queries into sub-tasks, routes each to the right expert (Mistral 7B · DeepSeek R1 · LLaVA · Llama 3.2), runs them in parallel via asyncio, streams responses via SSE. |
Real-time neural network training observatory GPU-backed (RTX 4060, CUDA 12.6) training with live weight heatmaps, gradient norms, and activation histograms streaming via SSE. Memory-augmented input via text embeddings. |
Tectonic (×2 internships, Bangalore)
- Frontend Engineer — e-commerce storefronts for 15+ brands (React, Next.js, WebSockets)
- Shopify Developer — Spectrum AI app (Liquid, AI integration, MCP workflows)


