Led engineering for smart inventory tracking and automated re-ordering integrated with Alexa. Enabled connected devices (smart appliances, printers, filters) to report consumable usage in real time and automatically reorder from Amazon before supplies run out.
Led the initiative enabling Alexa to discover, connect to, and print on virtually any printer in the world via voice. Architected the cloud document rendering pipeline, protocol negotiation, and secure device delivery at global scale.
Full-stack engineering spanning bare-metal device firmware, real-time communication protocols, and large-scale cloud services—from silicon to cloud and everything in between. Built end-to-end cloud-to-device synchronization, device control planes, and fleet telemetry across the Alexa hardware ecosystem.
Selected personal projects across autonomous LLM pipelines, local computer vision, and embedded systems:
Autonomous real-time news intelligence dashboard. Fetches 15+ feeds every hour, uses Google Gemini 2.5 (with automatic Flash ↔ Flash Lite failover) to cluster stories and score sentiment, and renders an interactive D3.js treemap on Cloudflare Pages.
Privacy-first Computer Vision MCP Server for Claude. Runs YOLOv8 (ONNX) and OpenCV locally to compute sharpness maps, exposure metrics, and focus accuracy across local RAW photo libraries—paired with photo-quality-analyzer (★19).
Autonomous, always-on Home Network Sentinel and Canary Honeypot running on a sub-$4 ESP8266 microcontroller. Detects lateral network scanning, DNS spoofing, and WAN jitter with a zero-heap PROGMEM web console.
On @prasad-a-abhishek, I build tiny, single-purpose packages with zero runtime dependencies (standard library only, 39+ published on PyPI), benchmarked against standard alternatives: