Engineering software that matters.
Specializing in Artificial Intelligence, Machine Learning, and Data Science — from edge neural models to high-performance data systems.
Bridging low-level systems with machine intelligence.
Undergraduate in Artificial Intelligence & Data Science passionate about building pragmatic machine intelligence. I build lightweight AI agents that parse entire repositories, low-latency computer vision models running on microcontrollers, and dependable data architectures.
Consecutive Project Expo Champion
Secured back-to-back 1st place victories consecutively across FY 2024–25 and FY 2025–26, competing against 300+ engineering contenders with edge AI neural inference and autonomous systems.
15+ Hackathons & Builds
Competed in over 15 high-intensity hackathons and rapid engineering sprints, designing and shipping full-stack prototypes, hardware-software pipelines, and AI co-pilots under strict 24–48hr constraints.
Distributed Systems & Memory
Researched, benchmarked, and published architectural deep dives on physical thermal compute orchestration and multi-tiered agentic long-term memory retrieval systems.
GitHub Repositories
Systems & Technical Stack
Microcontroller vision drivers, pointer math, and edge hardware memory allocation.
I Optimized Cooling Without Colder Fans
“Did it seriously just move the DB to Rack 4 because of a draft?” Watching our orchestrator bypass thermal hotspots and dynamically reroute heavy computational workloads into cooler zones without hardware throttling.
How I Added Long-Term Memory With Hindsight
“How did it fetch a three-month-old resume revision that fast?” Structuring Hindsight with tiered semantic caching, contextual vector indexing, and low-latency historical recall for agentic co-pilots.
Translating Logic into Stories
Bridging complex algorithms, distributed edge systems, and human-facing engineering narratives. Follow my Hashnode publication for architectural deep dives and benchmark logs.
Get in Touch
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