Lightweight data stream processing engine for IoT edge
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Updated
Sep 1, 2026 - Go
Lightweight data stream processing engine for IoT edge
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
Lightweight SQL-based stream processing engine for IoT edge.
AI-powered real-time object detection, tracking, and video intelligence platform using YOLO and computer vision.
A general-purpose data analysis engine radically changing the way batch and stream data is processed
GUI for FogLAMP
Real-time NGINX access-log triage and alerting for humans and AI: terminal UI, bot visibility, traffic signals, and token-efficient JSONL sidecar output. Built for ops teams that want to understand their traffic, not just store it.
OMQ: An IoT data stream query engine on oneM2M-based middleware
Electronic Engineer & Electronic Security Consultant focused on CCTV, video analytics, VMS integration, and multi‑brand security solutions. Also experienced in WordPress, WooCommerce, and digital marketing for tech and security services.
Real-time vehicle detection, multi-object tracking, speed estimation, vehicle counting, and traffic analytics using YOLOv8, SORT, OpenCV, and Python.
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