async def high_performance(): return scalable_apps
fastapi.create_secure_endpoint(oauth2=True)
impl DigitalSignature for PKI ...
celery.apply_async(data_processing)
PostgreSQL.optimize_queries(performance)
Rust::performance.improve(437)

About Make It Remote

Full Stack Development building high-performance, scalable applications with FastAPI, asyncio, Axum, and modern development practices.

4+
Years Experience
437%
Performance Boost
Fullstack
Frontend or Backend
Improvements

My Journey

I'm a passionate Full Stack Python Developer with 4+ years of experience specializing in FastAPI, asyncio, and Rust for building high-performance, scalable applications.

My expertise lies in creating secure digital signature systems, optimizing database performance, and implementing async architectures that handle thousands of records daily.

I've successfully migrated Flask applications to FastAPI, achieving 230% performance improvements, and built custom OAuth2 services for enterprise-level security.

Technical Expertise

API

Python & FastAPI

High-performance async applications with modern typing and Pydantic

FastAPI Asyncio Pydantic

Rust Development

High-performance backend services with Actix and Tauri frameworks

Actix Tauri Performance

Database Optimization

PostgreSQL and SQL Server performance tuning for high-load systems

PostgreSQL SQL Server Redis

Async Task Processing

Scalable data processing with Celery and Pykka actor systems

Celery Pykka ETL
OPS

DevOps & Cloud

Docker containerization, CI/CD pipelines, and Azure deployment

Docker CI/CD Azure

Modern Frontend

Vue3, Nuxt3, and Astro for responsive web applications

Vue3 Nuxt3 Astro

Key Achievements

Performance Optimization

Achieved 230% improvement in digital signature processing and 437% boost in agreements service performance through strategic migration to FastAPI and Rust.

🔐

Security & PKI

Developed custom OAuth2 services and digital signature management platforms, handling PKI systems with enterprise-level security requirements.

🏗️

Scalable Data Processing

Built ETL workflows processing thousands of records daily, designed automated data aggregation systems, and optimized database queries for high-load scenarios.

Education & Background

Academic Background

Master of Applied Computer Science
Wrocław University of Technology (2023-2024)
Bachelor of Applied Computer Science
Wrocław University of Technology (2019-2023)

Professional Approach

Code Quality Focus
Modern typing, clean architecture, and reliable systems
International Experience
English (C1) - Collaboration with global teams

Current Focus

Passionate about building high-performance, secure applications that scale. Continuously exploring modern Python practices, async architectures, and system reliability patterns. Always eager to tackle complex technical challenges and deliver solutions that make a real impact.

🚀
⚙️
🗄️