About

Addison Polcyn is a highly skilled Social RTC Voice and Software Engineer currently working at Roblox. With almost 5 years of relevant experience, Addison is proficient in various areas such as infra, test, data science, research, ML, and Python. Addison’s previous work experience includes working as a Software Engineer at Airtime where they were responsible for working closely with Real Time Transport Protocols, RTP & RTCP, between clients and servers on a globally distributed cloud server infrastructure based upon WebRTC. They were accountable for using data science methods to monitor and diagnose network-related RTC event metrics such as bandwidth estimations, round trip time, jitter, packet loss, retransmissions, NACKs, FEC packets, PLIs, and seeing how they affect changes in video resolution scaling, codec compression scaling, bitrate, frame-rate, and overall quality to offer optimal low latency solutions to end-users. Addison also worked on issues involving audio (Opus Codec) & video (VP8 codec) bandwidth adaptation modules within WebRTC, including Resolution Scaling, Quantization Value Scaling, Bandwidth Estimation, Paced Senders, Jitter Buffers, and Transcoding. They built an automation tool for running OS X & Linux processes under a simulated network environment on a cloud node, which is capable of generating super interesting consistent network resultant data. Addison spots trends, distributions, and patterns in the data by applying conventional statistical methods and machine learning to aid in making valuable infrastructure-specific optimization decisions. Addison’s educational background includes a Bachelor of Science in Computer Science from Purdue University, which they completed in December 2019. Addison has also worked as a Student Associate at Freshens Fresh Food Studio. With their diverse skill set and experience, Addison is a valuable asset to any team.