Vlasii (.

Backend Developer

Ukraine

Trusted member since 2025

7 years of experience

He has extensive expertise in cloud and infrastructure tools, including Docker, Terraform, and AWS, and works proficiently with databases like PostgreSQL, MongoDB, and DynamoDB.

At Class8, Vlasii architected and deployed an LLM-powered automation pipeline that parsed inbound emails and extracted structured data, replacing a slow and error-prone manual process.

Comfortable in both fast-paced startups and large organizations, Vlasii combines backend mastery with DevOps skills and fullstack awareness, consistently delivering scalable, reliable, and efficient solutions.

He has extensive expertise in cloud and infrastructure tools, including Docker, Terraform, and AWS, and works proficiently with databases like PostgreSQL, MongoDB, and DynamoDB.

At Class8, Vlasii architected and deployed an LLM-powered automation pipeline that parsed inbound emails and extracted structured data, replacing a slow and error-prone manual process.

Main expertise

Python7 years

Flask5 years

Git7 years

Pytest5 years

23+

Experience3

Senior Software Engineer

Class8•

Transportation and Logistics

Aug 2022 · 4y 2m

Designed and deployed an LLM-based email automation system, transforming manual email parsing into a structured, scalable workflow, which reduced human error, increased processing speed, and allowed support teams to focus on higher-value work
Led a comprehensive performance profiling initiative, generating execution heatmaps to identify bottlenecks in API endpoints; optimizations resulted in a 34% reduction in endpoint latency and improved overall system throughput
Migrated background job orchestration from AWS EventBridge and Batch to ECS with Celery and Redis, leveraging Terraform for deployment, which centralized task infrastructure, improved job reliability by 42%, and achieved 99.99% uptime
Built a dynamic partner API integration framework, enabling new integrations to be configured through JSON without code changes, reducing integration lead time by 27% and facilitating seamless onboarding of new partners

React.js

MongoDB

Docker

PostgreSQL

AWS

41+

Software Engineer

USCS•

Social Networking

Oct 2020 - Jun 2022 · 1y 8m

Refactored high-traffic endpoints to use asynchronous processing, replacing legacy multithreaded logic, which improved system capacity and enabled it to handle up to 90% more requests using the same resources
Implemented a Distributed Lock Manager to resolve multi-server race conditions that had persisted for over a year, eliminating rare but critical authentication errors and reducing failure rates to under 0.1%
Integrated observability tooling such as DataDog and StatsD across the application, significantly improving visibility into system behavior and contributing to a measurable reduction in production bugs
Researched and integrated new development tools to improve workflows and accelerate deployment cycles
Maintained a focus on reliability and performance through ongoing profiling, testing, and service-level optimizations

JavaScript

Vue.js

Docker

PostgreSQL

Redis

16+

Fullstack Engineer

Freelance•

E-commerce

Oct 2018 - Nov 2020 · 2y 1m

Developed responsive and interactive web interfaces using JavaScript, React.js, HTML, and CSS, creating intuitive and user-centric frontends
Designed and implemented RESTful APIs using Django, Flask, and Django REST Framework (DRF) to support frontend communication and third-party service integration
Engineered robust backend systems with Python, MySQL, and PostgreSQL, focusing on performance, scalability, and data integrity
Conducted web scraping tasks using Beautiful Soup to gather and process structured data from online sources for business intelligence and automation workflows

MySQL

JavaScript

React.js

PostgreSQL

HTML

11+

Engineering excellence

All Backend Developers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Backend Developers are distributed across that range, where our acceptance threshold for this parameter sits, and where Vlasii stands.