Skills
Machine Learning, AI/ML Applications, Exploratory Data Analysis, Python, Git, Golang, Rust, C++, Unreal Engine, Docker, Ambassador, Kubernetes, AWS, Concourse
Education
Computer Science & Mathematics, B.S ⢠Dec 2018 ⢠Temple University
Personal Projects
- 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
Experience
⢠Golang backend developer for highly scalable opensource IoT management related softwares such as xmidt, webpa, codex
ENG 2, SOFTWARE DEV & ENGINEERING, MACHINE LEARNING⢠COMCAST- DATA NETWORK SERVICES & PRODUCTS, PHILADELPHIA⢠JAN 2019 â MARCH 2022
⢠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 Comcastâs business and residential voice servicesâ application servers using SNMP Trap data
ENGINEERING & TECHNOLOGY INTERN, MACHINE LEARNING⢠COMCAST- NETWORK SERVICE & ANALYSIS, PHILADELPHIA⢠MAY 2017 â DECEMBER 2018
⢠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 Comcastâs backbone health and predicts several network anomalies 5 minutes in advance with high precision and recall using WLA2 probe data
COMPUTER VISION RESEARCH ASSISTANT ⢠DR. RICHARD SOUVENIR, TEMPLE UNIVERSITY, PHILADELPHIA⢠JAN 2017 â FEB 2020
⢠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