Working on Azure peering automation to efficiently and safely build out and maintain the azure edge network.

• Created an end-to-end pipeline for deploying containerized computer vision solutions utilizing different Azure services (for both arm64 devices and x86)

• Built a custom base image for the Jetson Nano and published it publicly to MCR

• Written in Python, C++, used Docker, OpenCV, HTTP, Azure IOT, ONNXRuntime & Intel OpenVino

• Planned weekly sprints using scrum practices, ran daily standup & presented work

• Directed project goals & created lean canvases to understand business impact

• Selected from a pool of thousands of candidates to work closely with the leaders of RippleMatch’s Marketing Team.

• Leveraged various growth strategies and tools including social media, email marketing, presentations, and peer & faculty member networking to grow the user base and awareness on campus.

• Strategically assessed growth and performance metrics to improve, change and/or help design new growth strategies.

• Through these initiatives hit weekly benchmarks of 30+ signups per week

• Taught private computer science lessons about data structures and algorithms using Python