Firmware team in the Advanced Hardware Engineering dept.

> Working on hardware integrity features for some of our vehicles’ MCUs

Formerly in the Sensor Emulators and Test Infrastructure team in the Advanced Hardware Engineering dept.

> Worked on embedded software development for custom hardware solutions used in HIL simulation (embedded Linux for Zynq Ultrascale+, C++ server design with ZMQ, kernel module development, device tree, I2C device driver bringup, FPGA interfacing, asymmetric multiprocessing, image release & OTA, Python development). Multi-sensor fault injection framework development for autonomous vehicle safety validation.

Software development for automated validation of embedded systems used in industrial automation

• Drove the planning and implementation of a microservices architecture for hardware-in-the-loop testing of new embedded computing products using Docker, Jenkins and Python gRPC APIs; accelerated hardware deployment and improved test repeatability

• Remodeled my team’s PostgreSQL database to leverage the features of table relations and views, enabling more complex queries which when combined with HTTP endpoints that I implemented in Python, improved scalability in our testing processes

• Doubled team’s range of embedded software test coverage on new hardware platforms by integrating an SoC programmer into multiple levels of the testing stack while gaining a command of Linux, Jenkins, and Docker

Worked on hardware integration for AI deployment, software for deep learning optimization and subsystem networking, UX upgrades + more

• Integrated new video capture hardware for an AI security system using Python OOP and Shell scripting, to improve form factor and video quality

• Reduced object detection latency by 60% by optimizing deep neural network inference with Tensorflow and TensorRT

• Implemented websockets for video streaming and upgraded the front-end using React to create a diagnostics suite for users

• Led multiple research projects for next generation product hardware including touch-screen integration and secure remote monitoring

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• Python for object oriented

• Tornado for HTTP handlers and websockets

• Linux, Docker, and Shell scripting

• TensorFlow, Keras, and TensorRT for object detection optimization

• Async.io and OpenCV

• React

Designed fixtures for smart-glasses manufacturing and furthered my experience in programming machine vision systems, for manufacturing.

• Decreased process cycle time by 35% by developing a machine-vision solution with Python and OpenCV to guide an operator through a re-work process for smart-glasses manufacturing; achieved 0.1mm accuracy

• Led design reviews and created detailed drawings for my 3D models. In charge of 3D printing all of the company’s printed prototypes.

• Gained exposure to industrial robot control while testing the capabilities of a Meca500 6-axis arm, and by developing a cycling fixture for a flex-PCB

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• Python & OpenCV

• SolidWorks

• DFM with machinist dialogues

• Cubicon 3D printers

• Laser Cutting

• Industrial robots

• GD&T