# Meredith Burkle > Software engineer + public transit enthusiast Location: Brooklyn, New York, United States Profile: https://flows.cv/meredithburkle software engineer and data scientist with 8+ years of experience in data platforms, modeling & algorithm development, machine learning, software development, and system design. excited to work on problems with a positive, data-driven impact, and foster continuous learning and growth πŸ›. outside of work, i do a lot of cooking, biking, thrifting, and reading of wikipedia. formerly HID Algs @ Apple | R&D @ Replica | Stanford EE ## Work Experience ### Senior Software Engineer @ Trunk Jan 2025 – Present Developing for developers + detecting flaky tests @ https://trunk.io/flaky-tests - we're hiring! - Joined flaky tests team in full-stack capacity, shipping configurable detection, manual status overrides, and MCP tooling within first 6 months - Led optimizations of flaky test detection engine, reducing query volume and engine runtime by >50% - Tech stack: TypeScript / Node.js, Prisma, Apollo GraphQL, Next.js, Python, Dagster, Clickhouse, Postgres, AWS EKS ### Founding Engineer @ Strella Jan 2023 – Jan 2024 | New York, United States - First hire and technical team member at a pre-seed AI startup in the market and customer research space - Secured $4 million in seed funding led by Decibel Ventures with participation from Unusual Ventures, key contributor in pitching and fundraising meetings as the tech lead - Building 0-to-1, implementing prototypes, staying up to date with cutting edge research, scoping initial product and features with co-founders, heavily involved in sales, outreach, and design at the earliest stages of ideation and conceptualization - Participated in Unusual Ventures’ Unusual Academy Fall β€˜23 cohort ### Research Software Engineer @ REPLICA Jan 2021 – Jan 2023 | Oakland, California, United States - Developed machine learning models predicting transportation demand, mobility, and and other built environment metrics on R&D team for key megaregion-level simulations - Liaison between product, platform eng, and customer teams to improve core prediction models in pre-training phase as well as standalone data products for key municipalities - Improved infrastructure and developer experience for growing Series B team, bridging gaps between eng, platform, and research ### Senior Machine Learning Engineer @ Apple Jan 2017 – Jan 2021 | Cupertino, CA - Designed and implemented classification and recognition interaction algorithms in FW + SW, part of Human Interface Design (HID) group within Sensors, Software, and Prototyping (SSP) org - Built out end-to-end data pipelines for production hardware and internal user study development - Contributions to Apple Watch Ultra (released 2022), Apple TV + new remote (2021), HomePod mini (2020), iPad Magic Keyboard (2020), MacBook Pro (2019), iPad OS (2019) and Apple Pencil 2 (2018) ## Education ### Master of Science - MS in Electrical and Electronics Engineering Stanford University Jan 2016 – Jan 2017 ### Bachelor of Science - BS in Electrical and Electronics Engineering Stanford University Jan 2012 – Jan 2016 ### Thomas Jefferson High School for Science and Technology Jan 2008 – Jan 2012 ## Contact & Social - LinkedIn: https://linkedin.com/in/meredith-burkle-73032534 --- Source: https://flows.cv/meredithburkle JSON Resume: https://flows.cv/meredithburkle/resume.json Last updated: 2026-04-01