Mentored by Bhawna Shiwani and Dr. Joshua Kline.
Research Responsibilities:
Led computer vision team to realize DIU and DOD projects, composed quarterly reports and grant proposals, mentored incoming research associates.

Mentored by Dr. Natasha Banerjee (CS).
Thesis: Project to automate the repair of broken or damaged objects.

Research Projects:
* Quantized and optimized existing neural networks for deployment on state-of-the-art Qualcomm handset devices.
* Developed a software API in Python to convert neural networks to a proprietary format and execute them on Qualcomm handset devices.

Responsibilities:
* Guided purchasing of approximately $50,000 worth of equipment for on-campus Makerspace, and assembled and maintained this equipment.
* Interviewed, trained, and managed eight student staff for University Makerspace.
* Worked with interns to structure and staff events including Business Plan Competition, President’s Challenge Kickoff, and President’s Challenge Workshop Series.

Mentored by: Dr. Mooi Choo Chuah (CS).
Research Projects:
* Trained neural network to detect strawberries in Python that achieves 84.2% accuracy at 1.63FPS and can be deployed for under $50.
* Collaboratively developed a Python API for a robot arm to automatically pick strawberries using my neural network.

Mentored by Dr. Sean Banerjee (CS) and Dr. Natasha Banerjee (CS).
Research Projects:
* Developed and published an algorithm to automatically produce smoothly-joining 3D-printable restoration parts for broken objects.
* Developed and published a photogrammetry based 3D scanner, which is parametric, modular, and can be 3D printed at low cost.
* Managed research group in synthesizing 957 high point density 3D models using my 3D scanner to verify proposed scanning optimizations.
* Created parametric platonic solid calibration targets in OpenSCAD to enable quicker calibration of multi-camera systems.
Responsibilities:
* Mentored four undergraduate students in hardware prototyping and computational fabrication.