Misha Topchilo
Lead Software Engineer at Bright Pattern
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolMisha Topchilo is a Lead Software Engineer based in San Francisco with about a decade of experience building scalable web and IoT systems across frontend (React, Next.js, Redux), backend (PHP, Python, Go) and DevOps tooling. He has a track record of owning full lifecycle delivery—designing system and database architecture, implementing complex applications from scratch, and leading teams to production-grade releases. His roles span engineering leadership in both Russian and US companies, recently advancing from Senior Frontend Engineer to Lead at Bright Pattern. Beyond professional work, he applies his engineering skills to astronomy—having built a fully automated remote-controlled observatory—which reflects a practical curiosity for hardware-software integration. He holds advanced study in computer science/data leadership from Innopolis and a background in information security, blending hands-on coding with defensive system thinking. Misha balances focused delivery with ongoing pet projects that explore new technologies and creative ideas.
10 years of coding experience
18 years of employment as a software developer
Speciality Comprehensive Information Security of Automated Systems, Speciality Comprehensive Information Security of Automated Systems at Orenburg State Agricultural University (OSAU)Chief Data Officer Computer Science, Chief Data Officer Computer Science at Innopolis University
Russian, English
Github Skills (22)
nextjs10
weather10
redux10
php10
telescope10
redux-toolkit10
codeigniter10
arduino10
react10
mysql9
astronomy9
monitoring9
data-analysis9
frontend8
typescript8
Programming languages (4)
Github contributions (5)
miksrv/astronomy-fits-parser
Feb 2022 - Jun 2025
This script is used to analyze captured frames of astronomical images from a homemade astronomical observatory. File analysis data are uploaded to a remote server, where they are visualized in order to accumulate and store information about the astronomical objects being photographed. Using the calculated parameters (FWHM, etc.), you can evaluate the quality of captured frames, and image preview allows you to evaluate frames immediately after uploading to the server.
Contributions:6 PRs, 17 pushes, 7 branches in 3 years 4 months
analyticsastrometryastronomyastropyobservatory
miksrv/geometki
Nov 2022 - Jul 2026
Contributions:4 releases, 2 reviews, 579 PRs in 3 years 8 months
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