About
With over 10 years of experience in data-driven development and machine learning leadership, I believe I can contribute significantly to most of ML or R&D missions of leveraging data science for strategic insights.
Currently, as Head of Machine Learning at Autodoria LLC, I lead a team of 12 ML professionals across multiple time zones, developing computer vision systems and implementing robust MLOps practices. I've demonstrated success in building high-performing teams, improving code quality metrics from 3 to 9.2, and increasing team efficiency five-fold through structured code review processes, library optimization, CI/CD and regular knowledge-sharing sessions.
My experience includes:
- Developing and implementing data science infrastructure supporting multiple GPU servers and processing datasets up to 500GB
- Built and maintain comprehensive MLOps infrastructure using ClearML, CVAT, and GitLab CI/CD
- Leading cross-functional teams in creating innovative solutions for complex analytical challenges
- Establishing comprehensive MLOps processes and metrics-driven development practices
- Analyzing anf publishing research papers on developed and optimized ML models (Q1, Q2 level) while maintaining practical business applications
- Successfully increasing R&D funding from $174,000 to $294,000 through strategic project management
- End-to-end development from idea to API services (FastAPI + Jinja2Templates, PyTorch, PyQt, SQL)
- Developing and deploying complex devices with neural networks (Python, Arduino, EasyEDA, Blender, 3D print, API, SCADA)
Coding:
MLOps:
Hardware:
If you are interested, I suggest next course of action.
The copyright for site materials are distributed under Creative Commons Attribution-ShareAlike CC BY-SA license (if not said otherwise).