Work in a fast-paced ML startup with local and international teams in the UK, India, and the Philippines to develop AI Studio, an edge AI platform allowing users to train, build and deploy models onto Blaize’s Graph Streaming Processors. Utilized Docker, Kubernetes, Helm, Jenkins CI/CD, IntelliJ, Pycharm, Linux/Unix tools, GStreamer, Harbor, Bash, Git, Postman, REST, C/C++, Python, Java.
* Designed, maintained, and debugged Edge ML ops components inside AI Studio.
* Became code owner of Philippines team’s edge server code to enable edge deployment for AI Studio.
* Built and optimized GStreamer pipeline to display Inference results from Edge Machine Learning devices.
* Active thought leadership in design of REST API for AI Studio to communicate with newly integrated Edge Machine Learning Server and in the design of Studio’s Edge AI architecture.
* Worked on UK based team to create AI solutions, understanding customer use case and building to demonstrate Blaize hardware and software utility. As well as improving internal tooling.
