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xKomil/README.md

Hi 👋, I'm Kamil

Junior Gen AI Specialist @ Warta

Poland · I build things that put language models to work, and ship them to real users.

LinkedIn Email


🚀 What I'm building

🎵 Niespodzianka Muzyczna  · live · commercial

A personalised song as a gift. You answer a few questions about the person, pick a style — ballad, pop, rap, disco polo — and the lyrics are written from your answers, with one free revision. AI composes the music and the vocal, a human checks the result, and about 24 hours later you get an MP3 plus a printable PDF gift card with a QR code to the track. Singles from 39.99 zł, EP and full-album tiers on the way.

The genuinely hard part is the vocal: most engines read Polish lyrics with an American accent and no emotion, so picking and driving the audio models is most of the work.

💪 E.V.  · live · private repo

A health coach for a two-person household — workout plans and sessions, nutrition logging with photo analysis, an AI coach you can actually talk to, and a gamification layer that scores itself from data the app already has.

Built with Next.js on Netlify, Supabase with row-level security throughout, and Google Gemini including the Live API. Two pieces I like:

  • Voice mode runs browser → Google directly, because Netlify Functions can't hold a WebSocket. The server's only job is minting a single-use ephemeral token with the model, system prompt and tool list locked in — the browser never holds an API key and can't substitute its own prompt. Every tool call still round-trips to the server, so writes happen under the user's own RLS.
  • Steps sync from an iPhone with nothing to install. An iOS Shortcut posts Apple Health step counts to a token-authenticated endpoint. The write goes through one security definer Postgres function, so an endpoint that is public by construction never holds credentials that bypass RLS.

🧰 Tech I reach for

Gen AI

Google Gemini LangChain LangGraph Python

Web

TypeScript Next.js React Tailwind CSS Supabase PostgreSQL

Data & analytics

pandas NumPy scikit-learn Power BI SAP HANA

Ways of working — Agile (Scrum, Kanban) · Jira · application testing


📚 A few public repos

brain-tumor-detector Tumour classification from MRI scans
Machine-Learning-Web-App Streamlit app estimating income, trained on the 2023 Stack Overflow survey
Data-Science Notebooks, Power BI and VBA from my analytics work
KoktajLove Cocktail app in TypeScript
Filmweb-webscrapper Scrapes film ratings and returns them as JSON

🎓 MSc student in Data Analysis · BSc in Economic Informatics — University of Łódź


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  1. Data-Science Data-Science Public

    Data Science projects: PowerBi, vba, Jupyter notebook, etc.

    Jupyter Notebook

  2. DataScienceSummerStudy DataScienceSummerStudy Public

    I want to document in this repository all my studying data science topics

    Jupyter Notebook

  3. Machine-Learning-Web-App Machine-Learning-Web-App Public

    This project is a web application built using Streamlit to estimate your income based on various factors. The application uses a machine learning model trained on data from the 2023 Stack Overflow …

    Jupyter Notebook

  4. SnakeUniversity SnakeUniversity Public

    First site with html5, css and javascript with particles - vincentgarreau.com/particles.js/ Link to the site: https://xkomil.github.io/SnakeUniversity/

    HTML

  5. KKino KKino Public

    Website project for my university studies with my colleague

    PHP

  6. PrescriptionGenerator PrescriptionGenerator Public

    Python app with connection to sql server

    Python 1