Mikhail Antonenka
Sr. Machine Learning Engineer at Pinterest
Warsaw, Masovian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolMikhail Antonenka is a Sr. Machine Learning Engineer with nine years of experience specializing in computer vision, image processing, and high-performance ML systems, currently building at Pinterest from Warsaw. He has a strong C++ background—contributing to SIMD-optimized image processing libraries—and a track record of reducing memory usage and hardening core image pipelines in production. Prior roles at IREX.ai, Kipod Video Analytics, and Synesis reflect deep expertise in applied deep learning for video and vision tasks across startup and product environments. Holding a master's in Physics and Mathematics and a top-ranked bachelor's in Computer Security, he blends rigorous analytical training with pragmatic engineering. Notably, his open-source work on SIMD/NEON/AVX optimizations highlights a focus on squeezing latency and memory gains out of low-level systems to accelerate ML workloads.
9 years of coding experience
9 years of employment as a software developer
Master's degree, Physics and Mathematics, Master's degree, Physics and Mathematics at Belarusian State UniversitySchool of Business and Management of Technology of BSU
Github Skills (12)
simd10
machine-learning10
c-language10
cprogramming-language10
image-processing10
neon9
sse9
avx9
data-structure7
data-structures7
algorithm7
algorithms7
Programming languages (3)
Github contributions (5)
ermig1979/Simd
Nov 2016 - Mar 2021
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 6 pushes in 4 years 4 months
Contributions summary:Mikhail primarily contributed to the development of image processing and machine learning functionalities within the C++ library. Their commits focused on implementing new features, such as conditional histogram calculation and Int16ToGray saturated conversion. They also worked on adding the Clone function to SimdView and SimdFrame based on the use of external buffers and added clear methods. This work involved modifying core C++ code and integrating new functions into the Simd library, as well as reducing memory allocations in SimdContour and fixing memory issues in SimdShift.
avxsimdvmxavx512simd-library
anmikh/caffe
Oct 2017 - Mar 2018
Contributions:8 pushes, 6 branches in 5 months
deep-learningpytorchcaffemachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.