Alexey Zankevich
Verified Expert in Engineering
Machine Learning Developer
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
Experience
Availability
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
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.
CTO
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.
Experience
Perfect Label
https://perfectlabel.io/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_labelsSkills
Languages
Python
Frameworks
Django, gRPC
Libraries/APIs
Python Asyncio, PyTorch, PySpark, OpenCV
Paradigms
Microservices, Management
Platforms
Kubernetes
Storage
Datadog, PostgreSQL
Tools
Apache Airflow
Other
Machine Learning, Recommendation Systems
Education
English Courses Degree in English
Minsk State Linguistic University - Minsk
Masters Degree in Physics
The Belarussian State University - Minsk
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring