Kobayashi Issa
I am an experienced IoT expert with a strong foundation in RFID, GPS tracking, and embedded systems using Raspberry Pi and ESP32.
About
I am an experienced IoT expert with a strong foundation in RFID, GPS tracking, and embedded systems using Raspberry Pi and ESP32. I design and implement IoT solutions for item tracking, asset management, and real-time data analytics, integrating hardware and software to build scalable IoT platforms with a focus on innovation, operational efficiency, and client satisfaction.
I have worked with US-based companies delivering customized IoT products aligned with smart connectivity trends. I leverage AI and ML for data processing, predictive analytics, and automation, and I apply Angular for dynamic dashboards and a .NET-based backend to enable end-to-end IoT solutions, including scalable, enterprise-grade architectures.
- 9 years' experience
- Joined January 2026
Industry experience
- Software & Internet
- Transportation & Logistics
- Manufacturing
- Professional Services
- Agriculture & Mining
Work experience
Led strategy and hands-on development for Raspberry Pi-based IoT prototypes with RFID and GPS; implemented AI/ML models to enable intelligent data analysis and decision-making; customized sensor fusion algorithms with GPS geofencing to automate perimeter security and enhance asset tracking; delivered training sessions on IoT best practices; helped startups achieve product-market fit via rapid PoC models and investor-ready demonstrations.
Developed and optimized ESP32 firmware for tracking and environmental monitoring; built Raspberry Pi gateways for edge computing to reduce cloud load; integrated MQTT and RESTful APIs to enable scalable data exchange; GPS integration with ESP32 for geolocation and geofencing; designed robust .NET backend services and Angular dashboards for real-time IoT management; architected full-stack solutions.
Designed embedded IoT solutions leveraging ESP32 and Raspberry Pi to improve RFID-enabled warehouse inventory tracking; developed software for Raspberry Pi to interface with RFID readers and GPS modules enabling real-time asset tracking; performed extensive field testing and troubleshooting in logistics environments.
Education
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