🎓 AI Master's Student @ Wrocław University of Science and Technology
My core focus is translating complex business problems into scalable and cost effective AI solutions. At Grid Dynamics, I autonomously built agentic modules, benchmarking and cost-analysis models for our CTO and drove a 30% reduction in solution costs by re-architecting platform components. I have hands-on experience deploying solutions on GCP and Azure.
My primary expertise is in Data Science and Generative AI, and I am uniquely effective at building end-to-end solutions. I have a strong foundation in full-stack development from frontend in React and Angular to backend in Spring and NestJS which allows me to not only design complex models but also deploy them as scalable, production-ready applications.
Alongside my industry work, I conduct academic research in computer vision and generative AI for video, with a focus on restoring and enhancing archival footage. I’m currently developing a model for old movie restoration, aiming to push beyond the capabilities of existing state-of-the-art approaches in temporal consistency and detail reconstruction.
| Area | Tools |
|---|---|
| Machine Learning | Python · PyTorch · TensorFlow · Keras · NumPy · pandas · Scikit-learn |
| AI Techniques | Computer Vision · NLP · Deep Learning · GEN-AI |
| Web & Fullstack | React · Angular · TypeScript · TailwindCSS · Docker |
| Backend | Python · Java · Typescript · NestJS · Spring Boot · PostgreSQL |
| Tools & DevOps | DVC · W&B · Git · GitLab · Linux · CI/CD Basics · Azure · AWS |
- ☁️ Google Cloud Associate Cerfied
- 🇬🇧 IELTS C1 – Academic English
- 🧠 Deep Learning Specialization – DeepLearning.AI (2024)
- 🔍 A Deep Understanding of Deep Learning – Udemy (2023)
- 🥇 1st Place – Hack The Climate (PFR)
- 🥈 2nd Place – Grow Up Tech #4 (AIP PWr)
- 🥈 2nd Place – Hack2React (PFR)
- 🥇 1st Place – EBEC Challenge (2022)
- 🥈 2nd Place – EBEC Challenge Poland (2023)