I'm building full-stack AI products at WhatBytes, where I reduced API response latency from 50 seconds to under 100 ms using Celery and Redis. I develop REST APIs and product features for an LLM vulnerability assessment platform with Django REST Framework and Next.js.
Previously, at a stealth startup, I engineered an OCR-and-LLM document parsing pipeline that cut quotation turnaround time by about 70% across 25+ procurement PDFs and images. I also built an automated quotation engine and structured observability that reduced pipeline debugging time by about 60%.
Outside work, I build AI systems such as an MCP observability proxy, a proof-of-learning platform with on-chain credentials, and a legal RAG assistant. I'm a Bennett University Computer Science student in the top 5% of my class, with 400+ DSA problems solved and research experience in UAV hyperspectral imaging.
