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parodus2mocktr181's Introduction

Hi there 👋

LinkedIn

The Rookies

Go Rust Python C++

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

Software/Game Dev • Unreal Engine AR Prototyping

  • 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

ENG 2, SOFTWARE DEV • COMCAST- Xmidt/Webpa, PHILADELPHIA• MARCH 2022 – Current

• 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 – 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 Comcast’s business and residential voice services’ application servers using SNMP Trap data

ENGINEERING & TECHNOLOGY INTERN, MACHINE LEARNING• COMCAST- NETWORK SERVICE & ANALYSIS, PHILADELPHIA• MAY 2017 – 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 Comcast’s 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 – 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

Github Stats

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parodus2mocktr181's People

Contributors

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