Pawel Sawicki(he/him)
Senior Machine Learning Engineer
About Pawel
Machine Learning Engineer and Software Architect with 15+ years of experience, specializing in deep learning, NLP, and LLM-based systems. Strong focus on designing and deploying end-to-end AI pipelines, including model fine-tuning (LoRA/PEFT), retrieval-augmented generation (RAG), and high-performance inference with modern frameworks such as PyTorch, Hugging Face Transformers, and vLLM. Experienced in building agentic systems using LangChain and LangGraph, as well as developing scalable backend services in Python. Combines solid software engineering principles with hands-on expertise in data-centric AI to deliver robust, production-ready solutions.
Public Workshops
8 workshops
Multi-Drone Systems & Swarm Coordination with PX4 & MAVSDK (Part 2)
Mastering OpenAI Codex: Agentic Software Engineering
Learn Codex end-to-end, from LLM foundations to MCP, BMAD, and spec-driven agentic delivery.
LangGraph Masterclass: Building Production-Ready AI Agents
3-day intensive: from LangGraph fundamentals to production agent deployment
Deep Learning with PyTorch
Master deep learning with PyTorch in this hands-on workshop, transforming theory into practice for real-world image and text tasks.
Building a Large Language Model with PyTorch
Build your own GPT-style language model from scratch in PyTorch, mastering key concepts and hands-on coding for real-world applications.
Autonomous Drone Development with PX4 & MAVSDK
Von der Simulation zur Autonomie. Hands-on PX4- und MAVSDK-Workshop für autonome Drohnenentwicklung mit Offboard-Steuerung, Missionsplanung und produktionsreifer Bereitstellung.
Agentic Product Development with Claude Code, BMAD and GitHub Spec Kit
Modern Product Management and AI-Assisted Software Delivery. Learn to work with Claude Code, BMAD Method, and GitHub Spec Kit for structured AI-driven product development.
Understanding Large Language Models: Architecture, Concepts, and Modern Systems
A 3-day architectural overview of large language models, transformers, attention, training, inference, and the modern open-source ecosystem.