CV

As the first member of TRI’s Research Software Engineering (RSE) team, I help bridge cutting-edge research with production-ready software, building tools and frameworks that enable robotics, AI, and simulation teams to innovate efficiently and at scale. I focus on translating ambitious ideas into practical, high-performance systems that are reliable, maintainable, and easy to use.

 

Key Focus Areas:

 

Software Architecture & Development: Design and implement core frameworks in C++, Python, and Java, with build systems like Bazel and CMake, using tools like Lucid and Miro for diagramming.

Full-Stack Engineering: I've developed end-to-end research tools using TypeScript, React, Lit, Node.js, and Plotly, ensuring seamless data visualization and user experience.

Cloud Infrastructure: I have architected and maintained AWS solutions for many projects. To name a few services I've used for projects like these: Greengrass, IoT Core, Lambda, ECS/Fargate, ECR, S3, API Gateway, RDS, DynamoDB, SQS, SNS, and Terraform, but I am generally knowledgeable of the AWS ecosystem as a Certified Develop and Solutions Architect.

Data & Streaming Systems: I've built and optimized real-time data processing using Apache Flink, AWS Data Streams, and Video Streams.

Hardware & Embedded Prototyping: Having a background traditionally in hardware, it's still an area I love to continue to work with. I've worked with Arduino Unos, RP2040s, ESP32s, Flipper Zeros integrating peripherals such as IMUs, UWBs, buttons, screens, LEDs, etc. I've also worked with Femto Bolts, adding them to experimental platforms bridging the physical and digital domains.

AI Integration: I've previously collaborated with TRI ML teams using PyTorch, TVM, ONNX, and TorchScript. And now I continue to try to maintain current and up to date context on generative AI tools and their integrations like GPT, Claude, and Gemini to enhance development and documentation workflows.