• Risk Platform: AI/ML to detect fraud/scam - identity risk

• Crypto Payroll

Led a research project funded by Intel to create a bug taxonomy for Internet-of-Things (IoT). Conducted a large-scale empirical study by mining thousands of github repositories.(paper published in ICSE’21).

https://scholar.google.com/citations?user=iTHmWWIAAAAJ&hl=en

As a backend engineer:

Improved user permission system, real-time eventing, and error management of an IoT SaaS platform.

Tech Stack: PHP Laravel server, Restful APIs, MongoDB, LoRaWAN, Docker, JWT Auth, Prometheus, Postman, Swagger

As a full-stack engineer:

Led the design, implementation, and launching an IoT monitoring system for remote TV transmitters.

Tech stack: IoT backend hub server with Node JS - iOS & Android mobile app with React Native - Express JS, Jest and Sinon (Testing), MongoDB, Pub-sub design pattern, MQTT cloud-based broker, React Native, ESP8266 Wifi-chip, ATMega 32

As a full-stack engineer:

Designed HTTP Restful APIs in Java, to allow other developers to query smart light bulb web services. Built an iOS application using Swift, to control, monitor, and schedule smart IoT lamps.

Tech Stack: Swift, Java Spring MVC, XML-based request/response, Restful API, MySQL DB (for log data)