Lightweight data stream processing engine for IoT edge
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Updated
Jun 16, 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.
A general-purpose data analysis engine radically changing the way batch and stream data is processed
GUI for FogLAMP
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.
An application to perform edge analytics on IoT sensor devices with Apache Edgent.
OMQ: An IoT data stream query engine on oneM2M-based middleware
Real-time NGINX access-log triage for humans and AI: terminal TUI, bot visibility, traffic signals, and token efficient JSONL sidecar output.
Restock Edge Service Application is made with Python, Flask and SQLite persistence with Peewee ORM. This service contains the operations for edge computing of the IoT system.
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