Михайло 

Python developer, 90 000 грн

Вік:
22 роки
Місто проживання:
Харків
Готовий працювати:
Дистанційно

Контактна інформація

Шукач вказав: ТелефонЕл. пошту

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

Досвід роботи

Python Developer | Tech Lead

з 09.2025 по нині (1 рік 3 місяці)
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

з 09.2025 по 02.2026 (6 місяців)
Mate academy, Дистанційно (Освіта, наука)

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

Python Developer

з 04.2025 по 09.2025 (6 місяців)
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

Освіта

Харківський Національний Університет ім. О.М. Бекетова

051 Компʼютерні Науки, Харків
Вища, з 2025 по 2026 (1 рік)

Знання і навички

  • 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

Знання мов

  • Англійська — вище середнього
  • Українська — вільно

Інвалідність

Третя група.
Діабет 1го типу

Додаткова інформація

Mykhailo Rozhkov
Python Backend Engineer | Acting Technical Lead
Email: [відкрити контакти](див. вище в блоці «контактна інформація») | Telegram: t.me/datrevter
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація») | GitHub: github.com/DaTrEvTeR

PROFESSIONAL EXPERIENCE

Admiral Studios | Backend Engineer / Acting Technical Lead | Sep 2025 – Present
Product development studio building web and mobile products.
Professional networking & freelance marketplace — Django, DRF, PostgreSQL, Elasticsearch, Redis, Celery, WebSockets, OpenAI API, AWS
• Joined a 3-year-old codebase, analyzed its architecture and built multi-profile accounts: users can own employer and talent profiles, switch between them, with requests scoped to the active profile.
• Built Elasticsearch global search across companies, talents, jobs, tenders, posts, blogs and events, enforcing active-profile RBAC/ABAC permissions. Replaced 7 endpoints (2–3 s on dev) with one flexible API, reducing response time to 100–300 ms.
• Developed personalized content and job recommendations, WebSocket chat and LLM-generated profile descriptions.
• Implemented AI moderation: OpenAI Moderation for text and AWS Rekognition via Lambda for uploaded images and videos.
• Interviewed and onboarded a developer; delegated tasks, reviewed PRs and provided technical guidance.

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 delivery milestones.
• Designed backend architecture, database schema, service/repository layers, authentication and authorization, async infrastructure and Stripe subscriptions.
• Built the core investment flow: Plaid transaction sync, investment calculations based on user-configured percentages, scheduled Alpaca investments, notifications and SSE updates.
• Hardened financial workflows after beta: implemented 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
• Built backend features for family diabetes management, including medical records, caregiver notes and child status updates.
• Fixed severe database performance issues: eliminated implicit lazy loading and duplicate queries, reused request-scoped sessions and added Redis caching. Reduced average response time from ~10 s to 20–50 ms.
• Designed family-role RBAC/ABAC permissions, audit trails for child profile changes and subscription access via RevenueCat.

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 when information is missing.
• Delivered Telegram bot and lightweight web UI with Google Sheets-managed access control, admin commands for syncing and re-embedding.

Pre-sales & engineering processes
• 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.

Mate Academy | Part-time Python Mentor | Sep 2025 – Feb 2026
• Reviewed backend assignments and PRs, conducted technical assessments and led live-coding sessions.

Insiders | Backend Developer | Apr 2025 – Sep 2025
• Developed REST APIs with FastAPI and DRF, asynchronous workflows and AI-agent integrations; contributed to CI/CD.

Freelance | Python Developer (Part-time / Project-based) | Apr 2024 – Apr 2025
• Built FastAPI/Django services, Telegram bots and automation tools; integrated third-party APIs and payments; deployed with Docker and CI pipelines.

Baza | Python Backend Developer Trainee | Jun 2024 – Apr 2025
• 10-month backend traineeship focused on REST APIs, modular business logic and microservice-oriented applications.

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