Sasha Aptlin
Founding Engineer at ReachRx
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSasha Aptlin is a founding engineer and serial founder based in New York with a decade of experience building full-stack and machine learning products that scale. They blend hands-on React/TypeScript front-end work—contributing to the open-source Highlight monitoring platform—with production ML systems that improved personalization, inference latency, and model monitoring for companies like VK, Constructor, and Neurodata Lab. Sasha has led small cross-functional teams, shipped measurable impact (e.g., 30% lift in photo views, 4x faster experimentation cycles, and 8x inference speedups), and repeatedly focused on performance and observability. Equally comfortable designing customer-facing UIs and pragmatic ML pipelines, they bring an engineer-founder mindset that prioritizes product outcomes, technical debt reduction, and rapid iteration.
10 years of coding experience
3 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at University of TorontoGCE A-Levels Maths Further Maths Physics Chemistry, GCE A-Levels Maths Further Maths Physics Chemistry at Westminster School, London
Stackoverflow
301reputation
300kreached
1answer
5questions
Github Skills (16)
uid10
typescript10
javascript10
typescripts10
front-end-development10
ui-design10
react10
typescript-types10
session-replay9
interface-design9
user-interface9
apache-spark6
eclipse6
svg6
python6
Programming languages (9)
Github contributions (5)
highlight/highlight
Aug 2022 - Mar 2023
highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:72 reviews, 192 commits, 80 PRs in 7 months
Contributions summary:Sasha primarily contributed to the front-end, implementing and modifying user interface elements. The user made changes that include styling, component updates, and new UI features, showing a proficiency in React and TypeScript. Additionally, the user implemented integration improvements within the app. The user also worked on improving the performance of session replay and made other general improvements.
monitorhighlightfull-stackdockergrafana
aptlin/tfjs-models
May 2019 - Aug 2019
Pretrained models for TensorFlow.js
Contributions:188 pushes, 11 branches in 3 months
javascriptmachine-learningpretrained-modelstensorflowtensorflow-js
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