Filip Szmid
From: Poland
Location: Gdańsk
On Useme since 13 April 2026
About me
Jestem doświadczonym senior Machine Learning / AI Engineer-em z wykształceniem w zakresie matematyki i ponad 7 latami doświadczenia w tworzeniu produkcyjnych systemów sztucznej inteligencji. Specjalizuję się w przekształcaniu złożonych danych i pomysłów badawczych w skalowalne, praktyczne rozwiązania wykorzystywane w finansach, ochronie zdrowia, logistyce, widzeniu komputerowym oraz automatyzacji.
Specjalizuję się w:
- Budowaniu gotowych do produkcji systemów AI z wykorzystaniem Głębokiego Uczenia, Uczenia Maszynowego i nowoczesnych architektur AI
- Rozwijaniu skalowalnych rozwiązań ML w zakresie NLP, widzenia komputerowego i reinforcement learning-u
- Projektowaniu kompleksowych pipelinów danych w środowisku chmurowym (AWS / GCP)
- Przekształcaniu modeli matematycznych i pomysłów badawczych w niezawodne produkty
- Dostarczaniu solidnych i łatwych w utrzymaniu systemów AI
CV / Résumé
May 2021 - Now
Senior ML/AI Engineer
STX Next
5+ years of experience building scalable AI/ML systems and delivering production-ready solutions in cloud environments. I develop chatbots, computer vision systems, and automation tools that drive real business impact.
Jan 2019 - Apr 2021
Software Developer (ML)
Balticon S.A.
Led development of an automated system for interpreting container damage reports at a logistics company managing hundreds of daily container movements. Designed a classifier to convert handwritten inspection reports into categorized digital data.
Portfolio
Customer Trainer
Built an advanced AI coaching system that analyzes customer video recordings to provide interactive presentation challenges. The platform utilizes video pipelines and cutting-edge models like Gemini 3.1 on GCP to evaluate communication skills.
Retirement Chatbot
Built an intelligent chatbot assistant that helps users make retirement decisions by recommending the next best financial action. The system automated complex decision logic using ML classification model and conversational AI.
Damage Classifier
Led development of an automated system for interpreting container damage reports at a logistics company managing hundreds of daily container movements. Designed a classifier to convert handwritten inspection reports into categorized digital data.
Real Estate AI Assistant
Designed and delivered an intelligent assistant for real estate brokers, automating lead interactions and suggesting next best actions to improve deal success. Leveraged LLMs for meeting summarization, optimal communication channel selection, other.
RAG Benchmarking
A collaborative research project focused on evaluating various Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
Audit AI
Architected and implemented an enterprise-class AI system for auditing 6 types of highly sensitive documents with handwritten data. Engineered robust Azure architecture to orchestrate complex document processing workflows served with Rest API.
AI Coding Agent
Engineered an innovative multi-agent tool designed to autonomously generate Python code and comprehensive documentation which significantly aids developers in the process of implementation of the real production tasks. (Top 5 score in SWE-Bench)
Logo Brand Detection
Researched and developed innovative technology for automatic logo detection and brand classification of 1000 logotypes in videos, enabling clients to accurately assess logo exposure during sports events. (mAP 92%, accuracy 91%)
Contract Analyser
Spearheaded development of an advanced agreement quality check application for a Fintech organization, automating contractual document analysis via a user-friendly interface.
Topic classifier
Developed a machine learning-powered REST API for processing unstructured event descriptions, delivering novelty, topic, and sentiment scores to support critical incident analysis.