Marek Pędzik
From: Poland
Location: Gryfice
On Useme since 22 October 2018
About me
Software Dev / AI | ML Engineer / Data Scientist
I work with, among other things:
- web and mobile applications
- e-commerce platforms (Adobe Commerce / Magento Certified Master Architect)
- data analysis, data cleaning, and EDA
- classical ML models (classification, regression, clustering)
- feature engineering and model evaluation
- embeddings and transformers
- AI-powered solutions
Data Scientist and Software Engineer with a Master of Engineering degree in Computer Science. I also have formal education in Data Science and Machine Learning, including an MIT certification and postgraduate studies in Data Science at the University of Warsaw.
Categories
CV / Résumé
Jan 2025 - Now
Backend / Data Engineer
SmartFrame Technologies ltd
Backend Developer rozwijający i skalujący platformę medialną w AWS. Tworzenie API i workerów (PHP, Python), optymalizacja baz SQL, Elasticsearch i kolejek asynchronicznych. Rozwój infrastruktury i poprawa wydajności system wysokiego ruchu.
Dec 2021 - Dec 2024
Senior Full Stack Developer
Creatuity Corp.
Kierowanie wieloma projektami e-commerce z naciskiem na integrację backendu i frontendu. Przeprowadzanie optymalizacji wydajności sklepów Prowadzenie inicjatyw związanych z integracją rozwiązań AI/ML ze sklepami internetowymi
Apr 2020 - Dec 2024
Senior Full Stack Developer
ClawRock Sp.z.o.o.
Zaprojektowanie i wdrożenie silnika rezerwacji diet "Diety od Brokuła", oraz optymalizacja wydajności dla międzynarodowego sklepu e-commerce "Bannerstop"
Jul 2014 - Mar 2020
Program Developer
IAI Group
Rozwój jednych z największych w Polsce platform e-commerce SaaS: IdoSell i IdoBooking
Portfolio
I was responsible for designing from scratch a system for creating and managing menus, diets, and products, as well as developing and maintaining the order processing engine.
Development and maintenance of a booking management platform integrated with Booking.com, Expedia, Trivago, Tripadvisor, HomeToGo, etc. (backend and frontend).
Analysis of order data from a food delivery aggregation platform. The goal was to assess demand for individual restaurants and identify customer purchasing trends. The results helped the company better understand user behavior.
Using deep learning and artificial intelligence techniques to develop a computer vision model capable of recognizing emotions based on facial expressions. The model performs multiclass classification of facial images.
Predicting whether a passenger was satisfied with their journey on the Shinkansen bullet train based on their overall travel experience. The task involved analyzing passenger data and developing a classification model to predict satisfaction levels.
Magento 2 (Adobe Commerce) module to generate product descriptions and meta tags using ChatGPT (OpenAI API)
Development and maintenance of a Magento 2 store (frontend and backend).
Utrzymanie i rozwijanie sklepu internetowego na Magento 2 (backend i frontend)
Development of a photo delivery platform with digital rights management designed to prevent viewers from downloading or copying protected images and to discourage screenshots. Responsibilities included backend development, AWS infrastructure, and fro
Map-first PWA app for tourists visiting Madeira and local activity operators.The backend is based on Supabase with PostgreSQL, PostGIS, Row Level Security, Edge Functions and pgvector search, Python services using FastAPI, Pydantic, LangChain/OpenAI