language + code + ai
AI/NLP-focused developer. Background in translation, localization, and multilingual product systems
I turn language expertise into practical tooling, QA workflows, and AI/NLP experiments for multilingual products.
The areas connecting my localization background with practical AI and data work.
Building practical workflows around LLMs, prompt design, structured outputs, and production-minded language applications.
Using Python to turn language services into reusable automation, data workflows, and application logic.
Applying exploratory analysis, notebook workflows, and structured thinking to product, model, and operational decisions.
Bringing localization expertise into QA, taxonomy, terminology systems, and user-facing precision across digital products.
One applied AI product build and one language technology project showing the two sides of my current direction.
Ongoing
Building a weather-aware outfit planner for runners, walkers, and everyday outdoor plans. The app combines live forecast data, activity timing, return-home conditions, and personal comfort feedback into a clear clothing recommendation.
Shows applied AI product engineering: deterministic recommendation logic selects the outfit, while AI explains the already locked result instead of inventing advice.
Ongoing
Managing Polish-language localization across Crypto.com's Web3 platform, including website and mobile wallet. Focused on terminology consistency, UX clarity, and trust-building across high-risk financial content.
Sustained quality ownership across high-stakes fintech surfaces where precision affects trust, comprehension, and conversion.
Selected courses and certifications focused on LLMs, Python, data analysis, and applied AI development.
AI_devs
2026
Large Language Models (LLMs), Prompt Engineering, LLM applications
DeepLearning.AI
2026
LLM evaluation, fine-tuning, LLMOps, production AI workflows