# Roger Zurawicki > Software Engineering Location: New York, New York, United States Profile: https://flows.cv/rogerzurawicki ## Work Experience ### Software Engineer @ Surge AI Jan 2024 – Present | New York, New York, United States ### Software Engineer @ Meta Jan 2020 – Jan 2022 | New York, New York, United States Team lead on AR Wearables, part of Reality Labs. Drove developer productivity leveraging embedded technologies including AOSP, emulation and test automation. ### Software Engineer @ Lark Jan 2019 – Jan 2020 | Beijing, China Implemented smart compose-like AI features into ByteDance's B2B product, Lark Suite. Worked on the core product infrastructure for Lark's desktop and web surfaces, optimizing for reliability and responsiveness. ### Software Engineer @ ByteDance Jan 2019 – Jan 2020 | Beijing, China Employed by ByteDance, working on Lark Suite ### Software Engineer @ Coda Jan 2017 – Jan 2018 | San Francisco Bay Area Wore many hats. Built and optimized core product features, analytics and logging systems, and core developer infrastructure tooling. Sign up for Coda: https://coda.io/?r=VkckhjWcRJO7uf1eE_Txxg ### Intern @ Coda Jan 2015 – Jan 2016 | San Francisco Bay Area Implemented Database Query Optimizations, enforced linting and ES6 migrations on a 100k+ line codebase. Prototyped and developed core product features. ### Software Engineering Intern @ Facebook Jan 2015 – Jan 2015 | Menlo Park, CA Wore on the Core System's team developing observability tooling and infrastructure management for Facebook's containerization technologies. Contributed to core internal libraries. ### Software Development Intern @ A9.com Jan 2013 – Jan 2013 | Palo Alto, CA Worked on Amazon.com's core search ranking and relevance algorithms. Implemented a scalable, streaming data pipeline leveraging AWS and Apache Storm. ### Computation Biology Research Intern @ Broad Institute Jan 2011 – Jan 2012 | Cambridge, MA Implemented streaming, sliding window algorithms in Java and Scala to compress DNA up to 100x. Developed proof of concept for a novel compression algorithm used in the GATK's BAM file format. Worked members of technical staff to analyze terabytes of genomic data using map-reduce architectures. ## Education ### Bachelor of Arts - BA in Computer Science Harvard University ### Chinese Language Beijing Language and Culture University Jan 2014 – Jan 2014 ### High School Medford High School ## Contact & Social - LinkedIn: https://linkedin.com/in/zurawiki - Website: https://zura.wiki - Website: https://cal.com/zurawiki --- Source: https://flows.cv/rogerzurawicki JSON Resume: https://flows.cv/rogerzurawicki/resume.json Last updated: 2026-03-20