Anton – Python, Django, Flask, experts in Lemon.io

Anton

From Poland (UTC+2)flag

Back-end Web Developer|Senior
Lemon.io stats
2
projects done
2268
hours worked

Anton – Python, Django, Flask

Need a Python developer who can architect a payment system, wrangle AWS, and plug in AI models? Anton’s already done it—and shipped it to prod. From building FastAPI services and Terraform infrastructure to integrating ComfyUI and launching edtech platforms, Anton blends backend power with business logic. Anton's ability to collaborate seamlessly with cross-functional teams ensures that projects not only meet but exceed expectations through his technical excellence.

8 years of commercial experience in
Accounting
Administration
AI
Art and creativity
Banking
Data analytics
E-learning
Edtech
Fashion
Fintech
Insurance
Logistics
Management
Social impact
Social services
Sports
Transportation
Content creation and licensing
Mobile apps
Platforms
Main technologies
Python
6 years
Additional skills
Django
Flask
FastAPI
React
Tailwind CSS
PostgreSQL
MongoDB
SQLAlchemy
Celery
NumPy
Pandas
pytest
Terraform
AWS
Docker
Kubernetes
GitHub Actions
RabbitMQ
Node.js
Redis
AWS Lambda
AWS SES
Amazon SQS
Amazon ECS
Amazon S3
Direct hire
Not possible
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Experience Highlights

Full-Stack Developer
Sep 2025 - Ongoing1 year 1 month
Project Overview

Automation and analytics platform for commercial vehicle fleet insurance. The platform handles policy issuance, endorsements and cancellations end-to-end, with automated document generation and analytics built around a single source of truth for policy data.

Responsibilities:
  • Architected an automated PDF policy package generation system that dynamically selects applicable insurance forms based on policy data and insurance date, reducing document turnaround time and removing a key source of compliance risk in policy issuance.
  • Reduced operational risk and manual overhead by automating the policy cancellation registration pipeline, replacing error-prone manual entry with a reliable process integrated directly into the core system.
  • Led an infrastructure migration, moving three dependent services off the legacy system onto the new service - consolidating the data around a single source of truth, cutting technical debt, and unblocking future feature development that depended on stale or duplicated data.
  • Streamlined endorsement processing end-to-end by building automated PDF generation for endorsements and extending the endorsements UI with contribution-tracking states, giving the team real-time visibility into policy changes and strengthening audit readiness.
  • Improved incident response time by implementing real-time alert notifications in the related services for critical incidents, enabling the team to detect and react to production issues faster.
Project Tech stack:
Python
Flask
SQLAlchemy
PostgreSQL
Typescript
React
Docker
Terraform
Jenkins
Grafana
Sentry
Salesforce
Python Developer
Feb 2022 - Sep 20253 years 7 months
Project Overview

A comprehensive online learning platform that enables users to create, manage, and share interactive courses, quizzes, and assessments for personal or professional development.

Responsibilities:
  • Led the development of the platform's backend via Django and PostgreSQL, ensuring scalability, reliability, and performance;
  • Developed API services for internal usage with FastAPI;
  • Configured infrastructure with Terraform to simplify the management of several environments;
  • Designed and developed the quiz and assessment engine, ensuring accurate scoring, grading, and feedback;
  • Integrated Stripe and Auth0 to handle payment processing and user authentication and authorizations;
  • Implemented access controls to ensure the platform's security and compliance with relevant regulations and standards.
Project Tech stack:
Python
Django
FastAPI
PostgreSQL
Auth0
Stripe API
Docker
Terraform
AWS
Full-stack Developer
Jan 2021 - Feb 20221 year 1 month
Project Overview

The project is aimed at generating custom images based on user preferences utilizing InvokeAI and prompt construction utilizing ChatGPT.

Responsibilities:
  • Refactored and reworked existing UI according to business requirements and designs;
  • Implemented the gallery page for generated images with sorting, filtering, and the ability to search by keywords;
  • Replaced InvokeAI with ComfyUI model to increase the speed and quality of generated AI images;
  • Developed flow to store and analyze prompts for generated images;
  • Improved subscriptions logic with Stripe by adding new subscription plans and data synchronization through webhooks;
  • Integrated Auth0 to build authentication and authorization, and protect API endpoints and application pages.
Project Tech stack:
Python
FastAPI
React
Tailwind CSS
MongoDB
Auth0
Stripe API
AWS
Python Developer
Mar 2019 - Jan 20211 year 10 months
Project Overview

End-to-end invoice management solution that connects and accelerates your Accounts Payable workflow, saving busy, revenue focused front of house teams from distraction and delay.

Responsibilities:
  • Implemented new API endpoints with FastAPI to support new features;
  • Implemented email notifications feature using AWS Lambdas that interact with SES and SQS services;
  • Implemented integration with Xero accounting platform, allowing users to connect their accounts and work with the data on the platform;
  • Built data processing flow with NumPy and Pandas to process data in a convenient way to build charts on the frontend;
  • Updated AWS Cognito integration to add support for a more granular role-based access to the application.
Project Tech stack:
Python
FastAPI
SQLAlchemy
Alembic
NumPy
Pandas
pytest
Docker
AWS
Python Developer
Mar 2018 - Feb 201911 months
Project Overview

A media platform for amateur soccer. The platform is a mobile application that enables users to track match statistics, register as a team player or fan, or become a team manager and edit team data.

Responsibilities:
  • Implemented business logic for Team Management and Community APIs;
  • Designed database schema for the core features and used pgModeler as a tool to find optimization opportunities;
  • Integrated Sentry to monitor application performance and track errors;
  • Documented API using Postman and collaborated with the frontend team to streamline integration;
  • Covered business logic with unit tests to ensure the correct functioning of the API.
Project Tech stack:
Python
Flask
PostgreSQL
SQLAlchemy
pytest
RabbitMQ
Sentry

Education

2019
Software Engineering
Bachelor

Languages

English
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