Ruslan Mullakhmetov
ML Performance Engineer at Deep Render
Ealing, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRuslan Mullakhmetov is an ML Performance Engineer with 11 years of experience applying mathematical rigor to real-world video, vision, and streaming systems. He has driven production deployments from low-latency transcoding and object-recognition pipelines to real-time AI video codecs across diverse hardware platforms. His work spans research-grade contributions to next-generation video codecs (H.266) with patents and ISO/MPEG participation, through product-focused roles at sports-tracking and OTT companies. Comfortable across algorithm design, SIMD/vectorized implementation, and distributed backend engineering, he consistently bridges theory and high-performance production code. Based in Ealing, UK, he combines a Master’s in Theoretical and Mathematical Physics with a Computer Vision Nanodegree—an atypical mix that fuels both deep analytical insight and practical ML systemship.
11 years of coding experience
12 years of employment as a software developer
Engineer's degree Applied Mathematics, Engineer's degree Applied Mathematics at Izhevsk State Technical University (ISTU)Computer Vision Nanodegree Artificial Intelligence, Computer Vision Nanodegree Artificial Intelligence at UdacityMaster's degree Theoretical and Mathematical Physics, Master's degree Theoretical and Mathematical Physics at ITMO University
English, Russian
Github Skills (59)
python10
redis10
async10
redis-streams10
rq10
task-queue10
logging10
job-queue10
logger9
json9
database9
cpp9
raft8
django8
distributed-systems8
Programming languages (6)
Github contributions (5)
theambient/mpeg2
Jan 2016 - Jul 2017
Contributions:29 commits, 8 pushes, 1 branch in 1 year 6 months
theambient/homemoney
Feb 2015 - Apr 2022
homemoney import from vtb24
Contributions:2 PRs, 4 pushes, 4 branches in 7 years 3 months
vtb24
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