Machine Learning, AI/ML Applications, Exploratory Data Analysis, Python, Git, Golang, Rust, C++, Unreal Engine, Docker, Ambassador, Kubernetes, AWS, Concourse

Computer Science & Mathematics, B.S • Dec 2018 • Temple University

• Setout to prototype an AR app build with Unreal Engine and create an educational blog post on how the app works to a non-technical audience while staying true to the internal workings of Unreal Engine
• Project blog post link: https://www.therookies.co/projects/22349

• Golang backend developer for highly scalable opensource IoT management related softwares such as xmidt, webpa, codex

• Developer lead for the inner-source AMP project, a ML platform for ML application development & orchestration • Data science lead for the virtual service gateway (VSG) usage anomaly detection project, used to detect usage byte counting anomalies of cm/cmts/vsg and later expanding the solution to detect anomalies/major deviations in dscp usage/ip family usage • Designed and implemented a scalable monitoring tool for Comcast’s business and residential voice services’ application servers using SNMP Trap data

• Developed a ML application that detects real-time network anomalies, abnormal packet loss, between Data-Centers and Cloud-RAN using IP SLA probe data • Developed a tool that analyzes Comcast’s backbone health and predicts several network anomalies 5 minutes in advance with high precision and recall using WLA2 probe data

• Developed algorithms/architectures to better understand human driving behaviors and the impact of low penetration rates of autonomous vehicles within our society • Assisted with the advanced study of multi-target tracking algorithms and effectively analyzed large amounts of motion data collected from a variety of sensors • Developed algorithms for large-scale tracking and group behavior and that allowed domain scientists to analyze large amounts of motion and behavioral data to find activities of interest