Serhii H.
Verified expert
Top skills
Serhii H.
Verified expert
Meet Serhii ✨
A Back-End Developer with 3.5 years of experience building scalable Python-based systems across AI, blockchain security, government services, and EdTech domains. Serhii brings solid grounding in software engineering principles, OOP, design patterns, numerical methods, and database management, combined with hands-on expertise in FastAPI, Django, and AWS cloud infrastructure.
He has delivered production backend systems across four distinct domains. His projects include an AI assistant startup that answers company-specific questions from client websites and document pools, built with FastAPI and Pinecone on AWS with full CI/CD and solution architecture; a blockchain AI security platform using ML algorithms to detect scammers and attacks in real time, featuring ETL pipelines, Neo4j graph databases, and infrastructure-as-code; multiple government and commercial projects at an outsourcing company including a national employment platform and profession catalog with Elasticsearch integration and multilingual support; and an employee knowledge assessment SaaS for corporate knowledge testing with SQLAlchemy integration and AWS deployment.
Serhii works confidently with PostgreSQL, MongoDB, Redis, Elasticsearch, Neo4j, Celery, Docker, AWS (EC2, ECS, ECR, S3, RDS, CloudWatch), and CI/CD via GitHub Actions. He holds AWS Certified Cloud Practitioner Foundational certification and Python Basic and Advanced certifications from Hillel IT School. His reliability, persistence, and attention to detail make him a strong fit for backend teams that value clean, well-tested, production-ready code.
If you need a backend developer who builds solid Python systems, works confidently with cloud infrastructure, and delivers from architecture through to deployment, Serhii is ready to contribute 🚀
Download the CVHard skills
Python
FastAPI
Django
Django REST Framework
Flask
SQLAlchemy
Alembic
Celery
NumPy
Pandas
BeautifulSoup
boto3
Requests
AIOHTTP
WebSockets
Beanie
SQL
PostgreSQL
SQLite
MSSQL
MongoDB
Neo4j
Redis
Elasticsearch
Docker
AWS
Nginx
Uvicorn
Gunicorn
GitHub Actions
GitHub CI/CD
REST API Development
GraphQL
Software Architecture
Technical Documentation
Tools
Git
GitHub
GitLab
PyCharm
Postman
Pytest
Unittest
Mock
Pinecone
Graphene Django
DRF Spectacular
Django Haystack
Django S3direct
Django Grappelli
JWT
Auth0
Soft skills
Responsibility
Persistence
Reliability
Attention to detail
Team collaboration
Problem solving
Open-minded
Continuous learning
AI Assistant Start-up
Back-End Developer
Project Description:
Designed and built the backend for an AI assistant startup that answers company-specific questions sourced from client websites and document pools. Took ownership of solution architecture, led development and CI/CD pipeline setup, conducted code reviews, mentoring, and task planning across a 5-7 person team.
Tools & Technologies:
Python, FastAPI, MongoDB, Pinecone, AWS S3, AWS ECR, AWS ECS, AWS EC2, Docker, Docker Compose
AI-Security Platform
Back-End Developer
Project Description:
Built backend systems for an AI-powered blockchain security platform that uses ML algorithms to automatically detect and respond to scammers and attacks in real time. Prepared technical specifications, developed ETL data pipelines, implemented infrastructure as code with GitHub Actions, optimized database structures, and maintained code quality through unit testing and code reviews.
Tools & Technologies:
Python, FastAPI, Neo4j, MongoDB, Beanie, PostgreSQL, Alembic, SQLAlchemy, Pandas, boto3, WebSockets, AWS EC2, AWS ECR, AWS ECS, AWS RDS, CloudWatch, Docker
Multiple Projects in Outsource Company
Back-End Developer
Project Description:
Delivered backend development across multiple government and commercial projects including a national employment platform and profession catalog. Upgraded legacy Django codebases, integrated Elasticsearch for full-text search, built REST APIs, added multilingual support, created customized Django admin panels, and integrated third-party APIs and AWS S3 storage.
Tools & Technologies:
Python, Django, DRF, PostgreSQL, Django Haystack, Elasticsearch, GraphQL, Graphene Django, DRF Spectacular, Django Grappelli, Django S3direct, AWS S3, AWS ECR, AWS ECS, AWS EC2, Celery, Docker, Docker Compose
Application for Assessment of Employees
Back-End Developer
Project Description:
Built backend features for a corporate knowledge assessment SaaS platform that tests employee knowledge, records results in a database, and supports management analytics and actions. Implemented new features, integrated SQLAlchemy, deployed to AWS, and maintained code quality through unit testing and bug fixing.
Tools & Technologies:
Python, FastAPI, PostgreSQL, Alembic, SQLAlchemy, Redis, Auth0, JWT, Pytest, AWS (S3, EC2), Docker