# Gleb Abroskin > Senior Software Engineer | Java/Rust | ML/MLOps | RecSys Location: San Francisco, California, United States Profile: https://flows.cv/glebabroskin Highly accomplished and innovative Staff Engineer with a proven track record of designing, implementing, and optimizing complex machine learning and recommendation systems for high-growth e-commerce platforms. My expertise spans both technical leadership and hands-on development, having successfully driven significant improvements in ARPU, system reliability, and team efficiency. I excel at introducing new processes, mentoring teams, and leveraging a diverse technical skill set including Kotlin, Python, and various ML/DevOps technologies to deliver impactful solutions. I'm passionate about building robust, scalable systems and fostering a culture of technical excellence. ## Work Experience ### Staff Software Engineer @ Uzum Market Jan 2025 – Present | Tbilisi, Georgia Introduced a robust incident management process for the Search team that significantly boosted SLA from 95% to 99.9% across all online and offline workloads. Transformed the hiring process by integrating a rigorous System Design stage, personally conducting over 70 interviews with a 1:20 interview-to-hire ratio, successfully filling 4 critical engineering positions. Measurably improved observability across 5 engineering teams by unifying tooling based on the 4 Golden Signals principles, reducing defect detection time from hours to mere minutes. Consistently achieved 75% of Key Results during my tenure as Staff Engineer, demonstrating strong leadership and execution in strategic initiative ### Senior Software Engineer @ Uzum Market Jan 2022 – Jan 2025 | Tbilisi, Georgia Spearheaded the design and implementation of sophisticated offline and online Machine Learning Recommender Systems for Uzbekistan's largest e-commerce platform (5M MAU). This initiative enabled over 40 concurrent experiments, driving a remarkable 5%+ increase in Average Revenue Per User (ARPU) with an exceptional defect rate of less than 0.1% per release. ### Senior Software Engineer @ FunCorp Jan 2021 – Jan 2022 | Limassol (Lemesos), Cyprus Designed and implemented a high-performance, 2-tier online Recommender System, achieving sub-5-second feature update latency. This system's performance was validated through A/B testing, matching the effectiveness of industry leaders like ByteDance's recommendations. Orchestrated the Software Development Life Cycle (SDLC) for the Recommender System, streamlining the process to achieve a rapid 3-week Time-to-Market (TTM) for new model deployments. ### Senior Software Engineer @ RingCentral Jan 2021 – Jan 2021 | St Petersburg, St Petersburg City, Russia Deployed 2 new speech-recognition models on time for the closed capture feature launch. Fixed multiple bugs in the speech recognition service. Integrated motion-blur feature as a wasm module to the video call platform. ### Software Engineer @ RingCentral Jan 2019 – Jan 2021 | Saint Petersburg, Russian Federation Deployed dozens of ML models. Optimized inference latency and memory consumption of the image recognition model by 30%. Reduced in half time-to-market of features in the crucial business application by automating QA process and using CI/CD pipelines. Worked on HNSW-based distributed nearest neighbor vector search engine. ### Software Engineer @ Insilico Medicine, Inc Jan 2018 – Jan 2019 | Saint Petersburg, Russian Federation I was developing infrastructure around Deep Learning experiments, refactoring code and improving code quality in the existing code base. Designed and implemented a library to save and load ML models in framework-agnostic style. Implemented patent search for generated molecules. ## Education ### Master's degree in Computer Science ITMO University ### Bachelor's degree in Computer Science ITMO University ### Bachelor's degree in Computer Software Engineering Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University) ## Contact & Social - LinkedIn: https://linkedin.com/in/gasabr --- Source: https://flows.cv/glebabroskin JSON Resume: https://flows.cv/glebabroskin/resume.json Last updated: 2026-04-01