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Jan Borkowski

@janborkowski

ML/AI Engineer building Polish-Czech NLP alignment and LLM evaluation systems, with benchmark and regression testing for difficult cases.

Poland

Message

I built and maintain Hybrydyzer / Szwejk, a Polish-Czech NLP alignment system with verified text segments, benchmark and regression testing, and structured human review of LLM-assisted decisions. I document failure cases and keep recurring errors in regression sets.

At BulletProve Sp. z o.o., I co-designed a multimodal quality-inspection system and developed its Python backend, APIs, and device integrations. Earlier, I worked on medical-imaging models at Surgalign Holdings Inc and Inteneural, and contributed to NLP and speech-translation work at Samsung Electronics.

Experience

Work history, roles, and key accomplishments

AI / ML Engineer

BulletProve Sp. z o.o.

Nov 2025 - Feb 2026 (3 months)

Co-designed a multimodal quality-inspection system combining machine vision, OCR, laser measurements, acoustics, edge cameras and industrial automation. Developed Python backend, APIs and device integrations; worked on diagnostics, timeouts, recovery paths, stream reliability and production stabilization. Built an additional training-system MVP with image analysis, session logic, RTSP/PTZ stream i

Machine Learning Engineer

Surgalign Holdings Inc

Jan 2022 - Oct 2023 (1 year 9 months)

Developed ML/DL components for automatic brain-aneurysm detection in CT; trained U-Net segmentation models and analyzed metrics, prediction quality and data limitations. Validated model behavior and investigated failure cases in a medical-imaging workflow, combining quantitative evaluation with qualitative review of predictions and data.

Machine Learning Deep Learning Brain Aneurysm Detection Computed Tomography (CT)U Net Segmentation Model Validation Failure Analysis Medical Imaging Quantitative Evaluation Qualitative Reviews

Machine Learning Engineer

Inteneural

Apr 2021 - Jan 2022 (9 months)

Worked on white-matter lesion and cerebral-vessel segmentation in CT: data preparation, experiments, validation, error analysis and Vision Transformer approaches.

Machine Learning White Matter Lesion Segmentation Cerebral Vessel Segmentation Computed Tomography (CT)Data Preparation Experiments Validation Error Analysis Vision Transformer

Junior NLP Engineer

Samsung Electronics

Jan 2019 - Nov 2020 (1 year 10 months)

Built a reinforcement-learning environment for a dialogue manager and worked with DBpedia, SPARQL, SQL and Docker. Contributed to direct speech translation awarded at IWSLT 2020 and to transformer quantization / QA tooling.

NLP Reinforcement Learning Dialogue Manager DBpedia SPARQL SQL Docker Speech Translation Transformer Quantization QA Tooling

Trainee - NLP

Samsung Electronics

Jun 2016 - Dec 2018 (2 years 6 months)

NLP and text analysis: NER, relation extraction, emotion detection; scikit-learn, TensorFlow/Keras, Pandas, Git and MongoDB.

NLP Text Analysis NER Relation Extraction Emotion Detection scikit learn TensorFlow Keras Pandas Git MongoDB

Education

Degrees, certifications, and relevant coursework

Coders Lab

Product & Project Manager in IT, IT Management

2024 - 2025

Course for Product & Project Manager in IT.

APMG International

Agile Project Management Foundation, Project Management

Certification in Agile Project Management Foundation.

University of Warsaw

MSc, Applications of Physics in Biology and Medicine / Neuroinformatics

2016 - 2020

MSc in Applications of Physics in Biology and Medicine with a focus on Neuroinformatics. Thesis on deep learning for biological dosimetry using Mask R-CNN and EfficientNet.

University of Warsaw

BSc, Applications of Physics in Biology and Medicine / Neuroinformatics

2013 - 2016

BSc in Applications of Physics in Biology and Medicine with a focus on Neuroinformatics. Thesis on identification of neural-activity patterns associated with auditory perception.