Paweł Labuda Portfolio
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code AI Engineering Notebook

Hi, I'm Paweł.
I build applied AI systems.

I experiment with LLMs, machine learning, deep learning, and data science. This is my portfolio, blog, and technical journal of things I learn and build.

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AI notebook interface with code, embeddings map, experiment log, and model pipeline

Personal projects

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MobiSkan.pl

MobiSkan.pl

The public product site for MobiSkan, built on Joomla with a fully custom template. The only parts of Joomla core actually reused are the CMS content…

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MobiSkan WMS

MobiSkan WMS

MobiSkan WMS is the server-side counterpart to the MobiSkan Android application. It turns individual CipherLab data collectors into one coordinated wa…

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MobiSkan 3.0

MobiSkan 3.0

MobiSkan is an offline-first Android application for warehouse staff carrying CipherLab data collectors (RK25, RK26, RK95): receiving goods, issuing s…

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Latest posts

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  • Building a Production Website Chatbot with RAG: An Advanced Engineering Guide Aug 11, 2026 · 55 min read →
  • REST and WebSocket in AI Systems: Designing Request-Response and Real-Time Communication Aug 3, 2026 · 15 min read →
  • Random Forest From First Principles: Bagging, OOB Evaluation, Tuning, and Interpretation Jul 30, 2026 · 16 min read →
  • A Churn Model Does Not Tell You Whom to Target: Uplift Modeling with a T-Learner Jul 18, 2026 · 24 min read →
  • Embedding Drift in Retrieval Systems: Why Centroid Shift Is Not Enough Jul 8, 2026 · 16 min read →
  • Causal Overlap Before Estimation: Diagnosing Support, Trimming, and Estimand Change Jun 24, 2026 · 16 min read →

My journey

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  • Apr 2026 - Present AI ENGINEER Sea Machines Robotics
  • Dec 2025 - Apr 2026 SENIOR DATA SCIENTIST Grid Dynamics
  • Jul 2022 - Dec 2025 DATA SCIENTIST Flex
  • 2022 COMPUTER SCIENCE MASTER'S DEGREE University of Gdańsk
  • 2020 COMPUTER SCIENCE BACHELOR’S DEGREE University of Gdańsk

My latest courses

Course Machine Learning System Design

Educative · Employer-Sponsored · 2026

Focused on architecting scalable, production-grade ML systems. Covered end-to-end pipeline design, infrastructure trade-offs, and reliability considerations. Emphasized latency, monitoring, and deployment best practices derived from large-scale industry environments.
Course AI Engineer: Agent & MCP

Udemy · Independent Study · 2026

Designed multi-agent architectures using LangGraph, CrewAI, and AutoGen. Implemented tool orchestration, task routing, and Docker-based deployments. Delivered complex agent collaboration systems including autonomous trading simulations.
Course Generative AI: Working with Large Language Models

LinkedIn · Employer-Sponsored · 2026

Explored transformer architectures and post-GPT-3 LLM advancements. Analyzed architectural evolution and real-world NLP applications. Strengthened practical understanding of LLM deployment strategies.
Course Build Responsive Real-World Websites with HTML & CSS

Udemy · Independent Study · 2026

Built responsive web applications using semantic HTML5 and modern CSS (Flexbox, Grid). Applied structured layout systems and UI/UX principles. Strengthened frontend debugging and optimization skills.
Course Big Data, Hadoop & MapReduce

Udemy · Independent Study · 2025

Implemented distributed MapReduce jobs in Python (MRJob) within the Hadoop ecosystem. Executed large-scale workloads locally and on AWS EMR. Applied NLP and analytical processing to real-world Big Data datasets.

Contact

Collaboration inquiry

Let’s discuss AI, ML, or technical collaboration.

I am open to AI engineering roles, applied machine learning projects, technical collaboration, and focused project discussions.

pawel.labuda@itvix.pl →

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Paweł Labuda

AI engineering portfolio, personal projects, technical notes, and blog.

Be in touch mail pawel.labuda@itvix.pl

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