Dmitry Petrov
Co-Founder, CEO at DataChain, Inc
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDmitry Petrov is a founder and technical CEO with nine years of engineering and startup leadership experience, currently building DataChain after creating the widely-used open-source tool DVC (Data Version Control). He combines deep academic training—a PhD in Computer Science—with hands-on back-end expertise from roles at Microsoft and Node.io, and practical research experience from LETI that produced publications and patents. Dmitry is fluent in building developer-facing infrastructure for ML teams, from CLI tools and configuration systems to robust data versioning, and has contributed key algorithm work such as a wavelet-based image hashing implementation. Based in San Francisco, he blends product vision with low-level engineering, often stepping into QA and core algorithm fixes to harden systems. Notably, his trajectory shows a pattern of turning research-grade ideas into production-grade open-source and commercial products.
9 years of coding experience
15 years of employment as a software developer
Saint Petersburg State Electrotechnical University "LETI"Internship., Internship. at Technical University of Munich
English, Russian, komi
Stackoverflow
1,519reputation
292kreached
15answers
36questions
hadoop
top-5%
hiveql
top-5%
Github Skills (24)
unit-testing10
python10
command-line-interface10
configuration-management10
pi10
numpy10
command-line10
hadoop9
image-processing9
data-versioning9
hiveql9
test-automation9
versioning9
version-control9
assert8
Programming languages (8)
Github contributions (5)
iterative/dvc
Mar 2017 - Jun 2021
🦉 Data Versioning and ML Experiments
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 3 reviews, 436 commits in 4 years 3 months
Contributions summary:Dmitry's commits primarily involve the creation of a base command class and its implementation in the init command for a data versioning tool. Their work focuses on setting up the configuration and structure for command-line tools, including parsing configuration files, managing environment variables, and defining command-line arguments. The user demonstrates proficiency in Python, utilizing the argparse, configparser, and subprocess libraries, indicating a strong understanding of back-end development principles for command-line applications.
data-version-controlml-modelspythonversion-controldata-science
JohannesBuchner/imagehash
Jun 2016 - Feb 2017
A Python Perceptual Image Hashing Module
Role in this project:Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:5 commits, 5 PRs, 16 comments in 7 months
Contributions summary:Dmitry primarily focused on implementing and refining the `whash` function, a core component for wavelet-based image hashing. Their contributions include the initial implementation, iterative bug fixes, and the addition of unit tests to ensure the reliability and functionality of the image hashing algorithm. Furthermore, they made adjustments to scale handling for smaller images, making the algorithm more robust. They also addressed documentation inconsistencies.
hashingpythonperceptualimage-processingimage-hashing
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