Developer Engineering - Observability

Researched leveraging heterogeneous computing techniques on mobile device hardware. Developed applications for profiling and analyzing tree construction algorithms and sparse matrix multiplication in convolutional neural networks across various mobile hardware configurations.Presented findings at the Santa Cruz Association of Computing Machinery (ACM) Research Conference

Developed automated testing for multiple applications using the .NET platform, ensuring compliance with financial and billing policies. Conducted comprehensive analysis to validate policy adherence and enhance application reliability.

Led undergraduate team studying multi agent reinforcement learning based on SaleForce's AI Economist framework to understand the effects of apprenticeship learning in academia and industry. Developed solutions to automate the creation and deployment of RL simulation experimentation to hardware cluster.

Led the development of web application utilizing Microsoft Azure Cognitive Services Platform for object detection and tracking.