Vlasii S.

Backend Developer

Vlasii is a Backend Developer with seven years of commercial experience, specializing in Python frameworks such as FastAPI, Django, DRF, and Flask.

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.

Main expertise

  • Python
    Python 7 years
  • Flask
    Flask 5 years
  • Git
    Git 7 years

Other skills

  • Bash
    Bash 5 years
  • JavaScript
    JavaScript 4 years
  • Bitbucket
    Bitbucket 3 years
Vlasii

Vlasii S.

Ukraine

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Selected experience

Employment

  • Senior Software Engineer

    Class8 - 3 years 9 months

    • 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

    Technologies:

    • Technologies:
    • React.js React.js
    • MongoDB MongoDB
    • Docker Docker
    • PostgreSQL PostgreSQL
    • AWS AWS
    • Redis Redis
    • TypeScript TypeScript
    • Databricks Databricks
    • Flask Flask
    • Microservices
    • Postman Postman
    • Python Python
    • Apache Kafka Apache Kafka
    • AWS SQS AWS SQS
    • SQL SQL
    • AWS Lambda AWS Lambda
    • AWS S3 AWS S3
    • Bash Bash
    • Firebase Firebase
    • Terraform Terraform
    • Data Engineering
    • DynamoDB DynamoDB
    • AWS Kinesis AWS Kinesis
    • Agile Agile
    • Git Git
    • RabbitMQ RabbitMQ
    • Bitbucket Bitbucket
    • DataDog DataDog
    • Dependency injection
    • Apache Airflow Apache Airflow
    • AWS CDK AWS CDK
    • AWS VPC AWS VPC
    • AWS EC2 AWS EC2
    • FastAPI FastAPI
    • SQLAlchemy SQLAlchemy
    • SonarQube SonarQube
    • AWS ECR AWS ECR
    • Mixpanel Mixpanel
    • Pytest Pytest
    • Pydantic Pydantic
    • NoSQL
    • Redshift Redshift
    • Celery Celery
    • AWS ECS AWS ECS
    • AWS Glue AWS Glue
    • PySpark PySpark
  • Software Engineer

    USCS - 1 year 8 months

    • 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

    Technologies:

    • Technologies:
    • JavaScript JavaScript
    • Vue.js Vue.js
    • Docker Docker
    • PostgreSQL PostgreSQL
    • Redis Redis
    • TypeScript TypeScript
    • Django Django
    • Jenkins Jenkins
    • Python Python
    • Bash Bash
    • DRF DRF
    • Agile Agile
    • Scrum Scrum
    • Git Git
    • RabbitMQ RabbitMQ
    • DataDog DataDog
    • Dependency injection
    • REST API REST API
    • HTML / CSS
    • Pytest Pytest
    • Celery Celery
  • Fullstack Engineer

    Freelance - 2 years 1 month

    • 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

    Technologies:

    • Technologies:
    • MySQL MySQL
    • JavaScript JavaScript
    • React.js React.js
    • PostgreSQL PostgreSQL
    • HTML HTML
    • CSS CSS
    • Django Django
    • Flask Flask
    • Postman Postman
    • Python Python
    • Selenium Selenium
    • DRF DRF
    • Git Git
    • REST API REST API
    • HTML / CSS
    • BeautifulSoup BeautifulSoup

Education

  • BSc.Computer Engineering

    Central Ukrainian National Technical University · 2020 - 2024

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