Михайло 

Python developer, 80 000 UAH

Employment type:
full-time, part-time
Age:
22 years
City of residence:
Kharkiv
Ready to work:
Remote

Contact information

The job seeker has provided: Phone numberEmailMessenger

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Work experience

Python Developer | Tech Lead

from 09.2025 to now (1 year 3 months)
Admiral Studios, Дистанційно (IT)

Professional networking & freelance marketplace — Django, DRF, PostgreSQL, Elasticsearch, Redis, Celery, WebSockets, OpenAI API, AWS
• Joined a 3-year-old codebase, analyzed its architecture and implemented multi-profile accounts (employer and talent) with active-profile request scoping.
• Built Elasticsearch global search across 8 entity types with RBAC/ABAC permission enforcement. Replaced 7 endpoints (2–3 s on dev) with one flexible API, reducing response time to 100–300 ms.
• Developed personalized recommendations, WebSocket chat and LLM-generated profile descriptions.
• Implemented AI moderation using OpenAI Moderation for text and AWS Rekognition via Lambda for images and videos.
• Interviewed, onboarded and mentored a developer; delegated tasks and reviewed PRs.

Automated investing app (fintech) — Technical Lead, built from scratch — FastAPI, SQLAlchemy, PostgreSQL, Celery, RabbitMQ, Redis, Plaid, Alpaca, Stripe
• Researched competitors, evaluated Plaid and Alpaca APIs, prepared technical specifications, estimates and milestones.
• Designed backend architecture, database schema, service/repository layers, authentication, authorization and async infrastructure.
• Implemented Plaid transaction sync, investment calculations, scheduled Alpaca investments, notifications and SSE updates.
• Hardened financial workflows with retries, reconciliation, idempotency and consistency checks to prevent lost or duplicated transactions; fixed security vulnerabilities.
• Mentored a developer and continued supporting him after transitioning to another project.

Family diabetes-care app (healthtech) — SQLAlchemy, PostgreSQL, Redis, RevenueCat
• Developed backend features for family diabetes management, including medical records, caregiver notes and child status updates.
• Fixed critical database performance issues: disabled implicit lazy loading (raise_on_sql), eliminated duplicate queries, reused request-scoped sessions and added Redis caching. Reduced response time from ~10 s to 20–50 ms.
• Designed RBAC/ABAC permissions, audit trails and family-based premium access.

Internal knowledge assistant (RAG) — Python, pgvector, OpenAI API, Confluence, Google Sheets, Telegram Bot API
• Built a RAG assistant with automatic Confluence sync, embeddings, semantic retrieval and document-grounded answers with explicit fallback.
• Delivered Telegram bot and web UI with Google Sheets-managed access control and admin commands for synchronization and re-embedding.

Pre-sales & engineering
• Analyzed client requirements, assessed feasibility, prepared estimates, refined specifications and supported delivered projects.
• Built an AI code-review skill for Claude Code, evaluated findings and false positives, and used AI-assisted development with manual review.

Python Mentor

from 09.2025 to 02.2026 (6 months)
Mate academy, Дистанційно (Освіта, наука)

Reviewed backend assignments and pull requests, conducted technical assessments and led live-coding sessions

Python Developer

from 04.2025 to 09.2025 (6 months)
Insiders, Львів (IT)

Developed REST APIs with FastAPI and Django REST Framework, implemented asynchronous workflows and AI-agent integrations, and contributed to CI/CD pipelines

Python Backend Developer | Trainee

from 06.2024 to 04.2025 (11 months)
Baza Trainee, Дистанційно (IT)

10-month backend traineeship: REST APIs, modular business logic and microservice-oriented applications

Python Developer

from 04.2024 to 04.2025 (1 year)
Freelance, Дистанційно (IT)

Built REST APIs and backend services with FastAPI and Django, Telegram bots and automation tools with Aiogram; integrated third-party APIs and payment systems; shipped with Docker and CI pipelines

Education

Харківський Національний Університет ім. О.М. Бекетова

051 Компʼютерні Науки, Харків
Higher, from 2021 to 2026 (5 years)

Knowledge and skills

  • Наполегливість
  • Python
  • Git
  • SQL
  • HTML
  • GitHub
  • Знання принципів ООП
  • CSS
  • PostgreSQL
  • Docker
  • JavaScript
  • MySQL
  • Django
  • FastAPI
  • Неконфліктність
  • REST API
  • SQLite
  • Адаптивність
  • Django Rest Framework
  • Flask
  • Multithreaded programming
  • Multiprocessing
  • asyncio
  • Asynchronous programming
  • Celery
  • RabbitMQ
  • Redis
  • Stripe
  • RevenueCat
  • AI integration
  • Користування AI-інструментами
  • Aiohttp
  • aiogram
  • Llm agents
  • Anthropic claude
  • Claude API
  • Elasticsearch
  • MongoDB
  • PGVector
  • Rag
  • SQLAlchemy
  • DBeaver
  • PyTest
  • Unit-тестування
  • Web Scraping
  • JSON Web Token
  • JSON
  • RESTful Web Services
  • Alembic
  • Docker Compose

Language proficiencies

  • English — above average
  • Ukrainian — fluent

Disability

3rd degree.
Діабет 1го типу

Additional information

Email: [open contact info](look above in the "contact info" section) | Telegram: t.me/datrevter | LinkedIn: [open contact info](look above in the "contact info" section) | GitHub: github.com/DaTrEvTeR PROFESSIONAL SUMMARY
Python Developer with 3+ years of commercial experience and current Acting Technical Lead. Built a fintech backend from scratch (FastAPI, PostgreSQL, Celery), delivered features in a large Django marketplace and solved critical database performance issues (timeouts reduced to 20–50 ms). Hands-on with LLM features: RAG, embeddings, content moderation and AI-generated content. Lead discovery, estimation, code review, hiring and mentoring.
TECHNICAL SKILLS
Languages: Python, SQL
Frameworks & Libraries: FastAPI, Django, Django REST Framework (DRF), Flask, Pydantic, SQLAlchemy, Alembic, asyncio, Aiogram Databases & Search: PostgreSQL, pgvector, Elasticsearch, Redis, MongoDB
Async & Messaging: Celery, RabbitMQ, Redis, WebSockets, Server-Sent Events (SSE)
AI / LLM: OpenAI API, OpenAI Embeddings, OpenAI Moderation, RAG, vector search, prompt engineering, AI agents Cloud: AWS (S3, Lambda, Rekognition)
Integrations & Payments: Stripe, RevenueCat, Plaid, Alpaca, Google Ads API, Confluence API, Google Sheets API, Telegram Bot API, webhooks
Testing: pytest, pytest-asyncio, unit & integration testing
DevOps & Tools: Docker, Docker Compose, CI/CD, Git, Linux, Claude Code, Cursor

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