Available

Hey, I'm
Vladislav (sm1le)

Backend engineer focused on building scalable, data-driven systems with Python and robust relational database design. Prioritizing performance, reliability, and security, with working knowledge of frontend development.

Vladislav

Mini Game

🍒
🍋
🔔
• Available for new projects! • Available for new projects! • Available for new projects!

Education

Kyiv Aviation Institute

Professional Junior Bachelor in Software Engineering

Software Development · 2021–2025

2021–2025

Technical Arsenal

Tools and technologies I use to design systems.

Languages

English
B1
Czech
A2
Russian
Native
Ukrainian
Native
Frontend
HTML5
React
JavaScript
Tailwind CSS
Backend & Infrastructure
FastAPI
Python
PostgreSQL
SQLAlchemy
Redis
Celery
Docker
Git
Alembic
Pytest
CI/CD
Soft Skills
TeamworkAgile/Scrum collaboration
CommunicationTechnical articulation
OpennessNetworking & contribution

Work Experience

Jan 2024 – Present

Backend & Full-stack Developer

Built and deployed 2 production-oriented FastAPI applications with PostgreSQL and Redis. Developed authentication and session systems, Stripe payments, email verification and password recovery, Celery background jobs, Alembic migrations, automated testing and CI/CD.

Secure auth, sessions, CSRF and account recovery

PostgreSQL, Redis, SQLAlchemy and Alembic

Stripe integrations and Celery background processing

Pytest, CI/CD, Docker and production deployment

Production work

Systems built & verified

2
Live applications
190
Automated tests
7/7
CI gates passing
87.03%
Test coverage

Completed Projects

Production-oriented Backend

TaskPulse

Production-oriented task management backend built with FastAPI, PostgreSQL, Redis and Celery. Implemented JWT authentication with HttpOnly cookies, refresh-token rotation, CSRF, RBAC, IDOR protection, rate limiting, caching and idempotent background jobs. Added N+1 query protection, automated testing and CI/CD with production Alembic migrations.

JWT, HttpOnly cookies, CSRF, RBAC & IDOR protection

PostgreSQL + Redis caching, rate limiting & idempotency

Celery background processing & asynchronous reports

62 tests · 87.03% coverage · N+1 regression protection

62
Tests passing
87.03%
Test coverage
≤2
SELECTs / task list
20/min
Requests / IP
Local API benchmark100 sequential requests
GET /health · P95
1.56 ms
GET /tasks/ · P95
4.93 ms
PythonFastAPIPostgreSQLSQLAlchemyRedisCeleryDockerPytestAlembicGitHub Actions

taskpulse-f5zy.onrender.com

Production Fitness SaaS

Sm1le-Fitness

Fitness SaaS built with FastAPI, PostgreSQL and Redis. Implemented secure account flows, Stripe payments, personalized training and nutrition plans, PDF exports, automated testing and production CI/CD.

Secure sessions, CSRF, email verification & password recovery

PostgreSQL + Redis, Alembic migrations & readiness checks

Stripe payments, personalized plans & PDF exports

128 tests · 7/7 CI gates · production smoke verification

128
Tests passing
7/7
CI gates passing
200
VUs within SLO
0%
Request failures
k6 capacity validation3 × 60s · PostgreSQL + Redis readiness path
P95 @ 200 VUs
~478 ms
Avg. throughput
~547 req/s
98,752 requests · 0% failures · SLO: P95 < 500 ms, failures < 1%
PythonFastAPIPostgreSQLSQLAlchemyRedisAlembicStripeResendDockerPytestk6GitHub ActionsRender

sm1le-fitnes-website-a3kp.onrender.com

Production fitness platform

Creating tools that solve real problems.

Get in touch with me right