Vlasii – Python, FastAPI, React, experts in Lemon.io

Vlasii

From Ukraine (UTC+3)flag

Full-stack Web Developer|Strong senior
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Vlasii – Python, FastAPI, React

Vlasii is a senior full-stack engineer with 8 years of experience specializing in Python and AWS. He has led backend and full-stack development for SaaS, freight-tech, and supply chain platforms, with a focus on scalable architectures, AI agent workflows, and infrastructure automation. His roles have included technical leadership, team onboarding, and end-to-end delivery across multiple domains.

8 years of commercial experience in
Fintech
Healthcare
Logistics
Retail
Supply chain
Travel
B2B
AI software
SaaS
Main technologies
Python
8 years
FastAPI
4 years
React
4 years
Additional skills
AWS
AI agent development
Apache Kafka
Redis
ElasticSearch
Django REST
Terraform
Memcached
MongoDB
Temporal
OpenAI API
Flask
Direct hire
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Experience Highlights

Senior Backend Engineer / Team Lead
Sep 2025 - Ongoing1 year 1 month
Project Overview

Document automation SaaS for creating, sending and tracking quotes, proposals and contracts, with e-signature and AI-powered document processing.

Responsibilities:
  • Designed and implemented core parts of the metadata extraction pipeline using durable execution with Temporal, processing millions of events daily with 99.99% workflow completion reliability.
  • Led the architectural redesign of AI agents, decomposing a monolith into modular use-case workflows and cutting cycle time by 40% via independent releases and isolated AI evaluations. Authored the RFC and coordinated implementation across multiple teams.
  • Led the onboarding of 3 engineers to a newly formed team by creating documentation, conducting technical training and providing mentorship, enabling them to ship independently within 1 month.
Project Tech stack:
Python
FastAPI
Django
Django REST
Celery
PostgreSQL
MongoDB
Redis
ElasticSearch
Apache Kafka
Terraform
Docker
Grafana
AWS
AWS Lambda
Kubernetes
LangChain
Temporal
OpenAI API
Memcached
Senior Full-Stack Engineer
Aug 2022 - Sep 20253 years 1 month
Project Overview

Freight-tech product automating load sourcing and back-office work for trucking carriers, including LLM-powered email parsing, voice automation, and streaming data pipelines into a data warehouse.

Responsibilities:
  • Implemented LLM-based automation for email parsing, eliminating manual errors and reducing processing time by 78%, allowing support resources to be reallocated to higher-priority work.
  • Implemented streaming data pipelines using AWS Glue, Kinesis and Airflow, enabling low-latency ingestion of mission-critical data into the data warehouse.
  • Migrated scheduled background jobs from AWS EventBridge + Batch to ECS with Celery + Redis, using Terraform for IaC. Centralized infrastructure and code, reduced failed jobs by 42% and achieved 99.99% uptime with no loss of critical scheduled data.
  • Improved frontend maintainability by introducing reusable components, hooks, consistent linting and formatting standards.
  • Integrated React applications with backend APIs, implementing routing, authentication flows, validation and robust error handling.
  • Built complex frontend workflows with React and TypeScript, handling asynchronous operations, loading states, validation and error recovery.
Project Tech stack:
Python
FastAPI
Flask
SQLAlchemy
PostgreSQL
Redshift
MongoDB
DynamoDB
Redis
Celery
PySpark
Databricks
Apache Airflow
Terraform
Docker
AWS
AWS Lambda
LangChain
OpenAI API
Twilio API
Typescript
React
Zustand
TanStack
Full-Stack Engineer
Oct 2020 - Jun 20221 year 8 months
Project Overview

Web platform helping business clients plan, track and control their supply chain operations.

Responsibilities:
  • Refactored request-intensive endpoints to use asynchronous processing instead of multithreading, enabling the system to handle up to 90% more requests with the same resources.
  • Implemented a Distributed Lock Manager to mitigate multi-server race conditions that had remained unresolved for over a year, eliminating critical authentication errors.
  • Integrated Datadog and StatsD metrics across the application, increasing observability and reducing the number of production bugs.
  • Developed and maintained frontend features in Vue.js, building UI components and integrating them with backend REST APIs.
Project Tech stack:
Python
Django
Django REST
Celery
PostgreSQL
Redis
Docker
Datadog
AWS
AWS Lambda
Vue.js
Vuex
JavaScript
Jest
Full-Stack Engineer
Oct 2018 - Sep 20201 year 11 months
Project Overview

Full-stack solutions for clients from enterprise to startup across Europe, the USA and Australia, in financial services, retail, travel and hospitality, and healthcare.

Responsibilities:
  • Designed and built RESTful APIs and backend services with Python, Django, Django REST Framework and Flask, deployed on AWS (EC2, S3, RDS, Lambda).
  • Developed client-facing web applications and internal admin tools with React, TypeScript and JavaScript, covering the full feature lifecycle from requirements to production release.
  • Implemented asynchronous task processing and integrations with third-party services using Celery and RabbitMQ, improving the reliability of data synchronisation between client systems.
  • Set up CI/CD pipelines in Jenkins with SonarQube quality gates, shortening release cycles and raising code quality standards across projects.
Project Tech stack:
Python
Django
Django REST
Flask
PostgreSQL
MySQL
AWS
Jenkins
SonarQube
Celery
RabbitMQ
React
Typescript
JavaScript

Languages

English
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