Publication
How to Build an Infinite Runner on iOS: Cocos2D, Automation, and More
https://www.toptal.com/developers/ios/building-an-infinite-runner-on-ios-cocos2d-automation-scripts
Alexey is currently unavailable
Alexey Zankevich
Verified Expert in Engineering
Machine Learning Developer
Harrington Park, NJ, United States
Toptal member since July 11, 2012
Bio
Alexey is a machine learning engineer with experience in model development, ML infrastructure, and real-time inference (Python microservices running in Kubernetes). He focuses on recommendation systems in Peloton. Alexey is the founder of Perfect Label, a machine learning startup.
Portfolio
Peloton Interactive
Python, PyTorch, Machine Learning, Recommendation Systems, gRPC, PySpark...
Tipsi
Python, Machine Learning, Django, OpenCV, Management
Experience
- Python - 15 years
- Microservices - 10 years
- Machine Learning - 9 years
- Python Asyncio - 7 years
- PyTorch - 6 years
- Kubernetes - 5 years
- Apache Airflow - 5 years
- Recommendation Systems - 5 years
Preferred Environment
Python, PyTorch, PySpark, Apache Airflow, Django, Python Asyncio, PostgreSQL, Kubernetes, Microservices, Machine Learning
The most amazing...
...accomplishment I've had is the Perfect Label Recognition Engine (Perfectlabel.io).
Work Experience
Senior Machine Learning Engineer
2018 - PRESENT
Peloton Interactive
- Led the recommendation system for the newly released product (the rower).
- Led the home screen recommendations (the main screen) for connected fitness devices.
- Led the personalization microservices (the real-time serving part of our recommendations) based on Python, Asyncio, and Kubernetes.
Technologies: Python, PyTorch, Machine Learning, Recommendation Systems, gRPC, PySpark, Apache Airflow, Datadog, Microservices
CTO
2013 - 2018
Tipsi
- Joined a very early-stage startup and turned it into a company with a very strong technological stack.
- Made critical decisions regarding the architecture and managed a team of around 11 people.
- Designed the recommendation system in the wine market.
Technologies: Python, Machine Learning, Django, OpenCV, Management
Experience
Perfect Label
I am the founder of this ML-based startup.
PRODUCTS
• Reverse wine search by label pictures
• Label unwrapper
• Label stitcher
These products are based on Airflow pipelines, OpenCV for image processing, and PyTorch models for feature extraction.
PRODUCTS
• Reverse wine search by label pictures
• Label unwrapper
• Label stitcher
These products are based on Airflow pipelines, OpenCV for image processing, and PyTorch models for feature extraction.
Unwrap Labels Library
https://github.com/Nepherhotep/unwrap_labelsA library to unwrap labels using the 6-point method. Based on six points (four corners and two middle points), it builds a mesh around the bottle and flattens the tiles to create a plane surface. Despite the library not having any neural networks embedded, it can easily be used with one if you have a custom model.
Education
2008 - 2010
English Courses Degree in English
Minsk State Linguistic University - Minsk
2003 - 2008
Masters Degree in Physics
The Belarussian State University - Minsk
Skills
Libraries/APIs
Python Asyncio, PyTorch, PySpark, OpenCV
Tools
Apache Airflow
Languages
Python
Frameworks
Django, gRPC
Paradigms
Microservices, Management
Platforms
Kubernetes, Google Cloud Platform (GCP)
Storage
Datadog, PostgreSQL
Other
Machine Learning, Recommendation Systems
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