# Kiran Gershenfeld > AI/ML Platform at Roblox Location: San Mateo, California, United States Profile: https://flows.cv/kirangershenfeld My journey with computer science began when I was 14 learning python on the internet. I quickly found that online courses were too restricted but the seed of coding had been planted. Every time I learned a new concept my mind would fill with new things I could do, and each project introduced me to new concepts. This cycle has taken me through all kinds of languages, frameworks, and platforms, and I never get tired of taking an idea and making it come to life. I love music, games, and social behavior and I am always seeking ways to bridge these concepts through computer and data science. ## Work Experience ### Senior Software Engineer @ Roblox Jan 2026 – Present | San Mateo, CA ### Software Engineer @ Roblox Jan 2023 – Present | San Mateo, California, United States ### Data Engineer @ Truffle Jan 2023 – Jan 2023 | Tempe, Arizona, United States * Designed, deployed, and monitored Truffle's event ingestion platform used to capture millions of user events per week using Spark on k8s, Redis, and Google Cloud Storage * Developed an analytics workflow using Spark and BigQuery to rapidly create actionable insights from many types of user events * Demonstrated how understanding user behavior on social platforms can help content creators better connect and scale their audiences ### Mogul Metrics - In collaboration with Mogul Moves and Ludwig @ Self Employed Jan 2022 – Jan 2023 Developed a live-streaming metrics dashboard to display custom YouTube livestream analytics to Ludwig, a YouTube creator with 3.3 million subscribers. This dashboard shows how videos are viewed over time providing insight into how the recommendation algorithm is pushing content. The backend for this project is built in Django using PostgreSQL while the frontend is built with React.js. ### Big Data Intern - Machine Learning Platform Team @ Zoom Jan 2022 – Jan 2022 | San Jose, California, United States • Deployed a proof-of-concept configuration driven ingestion pipeline ingesting millions of records/min using DynamoDB, Kinesis, and Delta Live Tables to ensure platform scalability to Zoom’s needs. • Evaluated Big Data table formats by designing a configurable experimentation engine in Spark to measure the execution time of query operations with various experiment parameters. • Developed template notebooks demonstrating how new teams can use ML Platform tools such as feature stores, model registries, ingestion pipelines and model deployment practices in their ML workflows. ### Data Science Intern @ Let's Play Jan 2021 – Jan 2021 | New York, United States • Analyzed the performance of the Esports Engine production studio by transforming raw viewership data into relevant KPIs such as hours watched, unique viewers, and average watch time. • Identified and developed new methods for understanding viewer interaction with online content. • Quantified ideas like viewer churn rate, viewer communities, and chatting behaviors into actionable datasets used to improve broadcast retention and engagement. • Designed and automated a weekly report of Esports Engine broadcasts in Tableau that visually communicated the weeks performance both holistically and individually by broadcast. ### Visualizing Social Media Communities @ Self Employed Jan 2020 – Jan 2021 | Scottsdale, Arizona, United States Created visual maps of communities on YouTube and Twitch.tv by scraping 100s of millions of comments and graphing the overlap of commenting accounts across channels. I published several of these maps on Reddit many of which achieved viral popularity with videos reacting to the maps accumulating millions of views. ### Quality Assurance Tester - Beyond Blue @ E-Line Media Jan 2020 – Jan 2020 | Tempe, Arizona, United States - QA tester for Beyond Blue - Experience with Play Station 4 development units and build deployment ### Computer Science Intern @ E-Line Media Jan 2019 – Jan 2019 | Scottsdale Arizona - Quality assurance on The Endless Mission - Bug reporting using Jira - Documentation using Atlassian and Confluence ## Education ### Bachelor of Science - BS in Computer Science Arizona State University ### International Baccalaureate Diploma Cactus Shadows High School ### Unity Game Design iD Tech Camp ## Contact & Social - LinkedIn: https://linkedin.com/in/kirangershenfeld - Portfolio: https://kirangershenfeld.dev --- Source: https://flows.cv/kirangershenfeld JSON Resume: https://flows.cv/kirangershenfeld/resume.json Last updated: 2026-03-29