About Me

Tomasz Osiński

Fullstack Developer & AI Enthusiast

Hi! I'm a Fullstack developer with a passion for AI and modern web technologies. I specialize in building complete solutions – from backend with APIs and ML, to responsive user interfaces. I combine data analysis with intuitive UX. I will automate your business processes and create intelligent applications that solve real problems.

Name: Tomasz Osiński

Certificates & Achievements

Professional certifications that confirm my expertise in AI and modern technologies.

Certified

AI_devs2 - Connect GPT-4 with application and automation logic

Advanced course on integrating AI with applications

Completed: January 3, 2024
Instructors: Adam Gospodarczyk, Jakub Mrugalski, Mateusz Chrobok

Comprehensive course covering generative AI, OpenAI models, GPT-4 programming, and automation. Focused on building real-world applications that leverage AI for solving complex problems and automating business processes.

Generative AI OpenAI Models GPT-4 Programming AI Automation
Verify Certificate

My Professional Skills

Key technologies and tools I work with daily to deliver effective solutions.

AI Agents Development

AI agents based on OpenAI, Claude, Gemini and other Open Source models, with RAG systems for large context data support.

Machine Learning

Building specialized ML models using TensorFlow, PyTorch, scikit-learn. Especially for classification, regression, and image analysis tasks.

API Development

REST APIs with FastAPI – fast, modern APIs with automatic documentation. Celery for asynchronous tasks. Locust for performance testing.

Web Scraping

Automated data collection with Selenium, Playwright, BeautifulSoup. Useful for price monitoring, competitor analysis, market offer aggregation.

SQL/NoSQL

SQL databases (PostgreSQL, MySQL) and NoSQL (MongoDB). Schema design, query optimization, ORM integration (SQLAlchemy).

Docker

Application containerization, Docker Compose, CI/CD. Consistent dev/staging/prod environments, microservices scaling, deployment automation with GitLab Pipelines.

Python

Main language for data analysis, automation and backend. Rapid prototyping, large dataset processing, API integrations.

Javascript / Typescript

Frontend and Fullstack development. Interactive user interfaces, real-time applications, modern frameworks, TypeScript for type safety.

React

Web applications with React and Next.js. State management with Redux. UI components with Material-UI. SSR, routing, performance optimization.