Pavel Liashkov
Backend Engineer |
Python & Golang Expert |
ML Enthusiast |
Professional Experience
Backend Engineer, SplitMetrics
July 2022 – Present
- Developed scalable, high-load systems using Python, handling up to 5k requests per second and managing big data (>200 million records/day).
- Created Apple keywords suggestion service and machine learning systems for ad bid optimization.
Senior Software Engineer, Exness
August 2016 – April 2022
- Developed distributed microservices billing system and integrated crypto payment solutions.
- Enhanced system security through a secrets management service.
- Managed databases with SQL optimizations and architectural improvements.
Software Engineer, Game Stream Joint LLC
August 2014 – August 2016
- Built a microservice-based coupon system and led the premium shop redesign, increasing user engagement and sales.
- Developed versatile APIs for seamless external platform integration.
Software Developer, Mobispot Social Systems
October 2012 – August 2014
- Led development of billing systems for payment terminals and vending machines.
- Created an online shop for NFC tags and integrated social network features.
Open Source Contributions
Education
- Master of Science in Information Technology (MSIT), University of the People
- Master’s Degree in Theoretical Physics, Kemerovo State University
Certifications
The Linux Foundation
Coursera Specializations
Udacity
Yandex
Oxford Machine Learning Summer School
Skills
- Programming Languages: Python, Golang
- Technologies: Kubernetes, gRPC, SQLAlchemy, Airflow, Snowflake, PostgreSQL, FastAPI
- Specializations: Python Developer, DevOps, MLOps, Large Language Models (LLM), Web Development
Projects and Achievements
- Developed high-load systems and managed big data effectively at SplitMetrics.
- Improved security through a secrets management service at Exness.
- Created a microservice-based coupon system at Game Stream Joint LLC.
- Built billing systems and integrated social features at Mobispot Social Systems.
- Authored popular open-source packages with significant monthly downloads.