Anton Murauyou
Engineering at New Lantern
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAnton Murauyou is a technical leader with 15 years of experience building and scaling engineering teams and mission-critical infrastructure across consumer and AI products from Fitbit and Uber to Twitter, NVIDIA, and startups. He combines deep backend and distributed-systems expertise—evidenced by contributions to the Scala Scalding project improving execution and reducer estimation—with product sensibility, often wearing the product manager’s hat to prioritize by impact and communicate with business stakeholders. A founding engineer and tech lead who has built teams from scratch, he consistently drives measurable reductions in operational effort and time-to-ship through pragmatic architecture, automation, and process design. At Twitter he delivered multi-org optimizations that made integrations self-serve and reduced integration effort by up to 84%; at NVIDIA and New Lantern he focused on LLM microservices and responsible AI for clinical use. Known for leading by example, Anton mentors engineers in both technology and leadership while balancing strategic vision with hands-on execution. He is based in San Francisco and brings a track record of turning complex systems into dependable, measurable outcomes.
15 years of coding experience
16 years of employment as a software developer
Golden Medal English, Golden Medal English at Gymnasium 7Bachelor Mathematics and Computer Science Informatics, Bachelor Mathematics and Computer Science Informatics at BSUIR
English, German, Russian
Github Skills (5)
cascading10
hadoop10
scala10
api8
apidoc8
Programming languages (11)
Github contributions (5)
twitter/scalding
Feb 2017 - Dec 2018
A Scala API for Cascading
Role in this project:
Back-end Developer
Back-end DeveloperContributions:40 commits, 38 PRs, 31 pushes in 1 year 10 months
Contributions summary:Anton contributed to the development of a Scala API for Cascading, focusing on enhancing its functionality. The commits showcase the addition of an execution API to work with distributed cache files, demonstrating a focus on improving data processing capabilities. These changes included modifications to configuration files and test files, highlighting the user's involvement in the core components of the library. The user also updated the reducer estimation logic, indicating efforts to optimize job performance.
apiscalafs2cascadingscala-native
dieu/scalding
Feb 2017 - May 2019
A Scala API for Cascading
Contributions:102 pushes, 25 branches in 2 years 3 months
apiscalacascadingscala-jsscala-native
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