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 Agent Development

AI agents based on OpenAI, Claude, Gemini and other open-source models, with RAG system support for handling large-context data.

Machine Learning

Creating specialized ML models using TensorFlow, PyTorch and scikit-learn. Focused on text and image classification tasks.

API Development

REST APIs built with FastAPI — fast, modern APIs providing asynchronous request handling; Celery for task queuing and handling more demanding background processes.

Web Scraping

Automated data collection and analysis using technologies like Playwright, Scrapy, or CEF. Ideal for price monitoring, competitor analysis and market offer aggregation.

SQL/NoSQL

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

Docker

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

Python

Primary language for data analysis, automation and backend. Rapid prototyping, processing large datasets, and API integrations.

JavaScript / TypeScript

Frontend and fullstack development. Interactive UIs, real-time applications, modern frameworks, and TypeScript for strong typing.

React

Web applications with React and Next.js. State management via TanStack Query / Zustand or Redux. UI components with Material-UI. SSR, routing and performance optimization for SEO.