Vlad Sterzhanov
Staff Software Knight at GRAIL
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVlad Sterzhanov is a Staff Software Knight with 13 years of experience building large-scale systems that push healthcare from reactive to preventative, currently developing infrastructure at GRAIL to detect cancer early and extend healthy human lifespan. He blends deep ML and distributed-systems expertise—contributions include neural-network tooling for Yandex’s ML repo and protocol-level improvements to Freenet’s daemon—demonstrating both algorithmic and low-level networking chops. His career spans major product and research environments (GRAIL, Asana, Facebook, Mozilla) where he ships robust, production-ready infrastructure and mentors engineering practice. Trained at MIPT and the Yandex School of Data Analysis, he pairs rigorous mathematical grounding with practical software engineering. Based in San Francisco, he favors projects that translate complex research into reliable, impactful systems. Colleagues describe him as a pragmatic engineer who routinely tackles hard, non-obvious bottlenecks in both ML pipelines and networked systems.
13 years of coding experience
6 years of employment as a software developer
Belarusian State UniversityBachelor of Science (BS), Mathematics and Computer Science, Bachelor of Science (BS), Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)Free Master’s-level program, Department of Big Data, Free Master’s-level program, Department of Big Data at Yandex School of Data AnalysisHigh School, Physics and Mathematics, High School, Physics and Mathematics at Lyceum of Belarusian State University
Russian, English, Russian
Github Skills (15)
neural-network10
net10
javas10
machine-learning10
back-end-development10
python10
networking10
java10
scikit-learn9
data-structure9
scikit9
data-structures9
algorithms9
concurrency8
data-science8
Programming languages (12)
Github contributions (5)
yandex/rep
Mar 2015 - May 2015
Machine Learning toolbox for Humans
Role in this project:
ML Engineer
ML EngineerContributions:39 commits in 2 months
Contributions summary:Vlad focused on implementing and refining a machine learning toolbox. They initialized base classes for regression and classification, including parameters for different network types. The commits demonstrate the development of neural network models and their integration within the toolbox, along with fixes related to deepcopy and model scaling.
pythondata-sciencetoolboxmachine-learningclustering
hyphanet/fred
Jul 2013 - Sep 2013
Freenet REference Daemon
Role in this project:Back-end Developer
Back-end DeveloperContributions:19 commits in 2 months
Contributions summary:Vlad primarily focused on enhancing the core functionality of the Freenet REference Daemon, specifically addressing bandwidth limitations and packet handling. They implemented cumulative acknowledgements and reworked the cummack structure, introducing distant ranges for improved efficiency. The user's contributions also included backward compatibility measures and the modification of several core Java files related to packet sending and data transmission.
distributeddaemonp2pfreenet
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