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Machine Learning Expert at Parasoft
I build practical AI that ships. My focus is applied LLMs for software engineering and testing -- turning large, messy datasets into reliable product capabilities that help developers move faster with confidence. At Parasoft, I drive research end-to-end: framing problems, designing experiments, curating and evaluating data, and partnering with engineering to move prototypes into production. Recent work spans LLM-powered code and test understanding, automated test generation/maintenance, defect triage, and developer-in-the-loop assistants. I design rigorous evaluation frameworks, align models with security and privacy requirements, and document results through patents and publications. Current Focus: * Applied LLM research for software development automation * Patent development and technical publication authoring * Large-scale data analysis and solution architecture * Cross-functional collaboration on AI product innovation Drawing from extensive experience leading technical teams and managing complex IT initiatives, I bring both research excellence and strategic execution to challenging problems. My approach combines rigorous methodology with practical implementation, driven by curiosity and collaborative leadership that makes ambitious projects achievable. Open to discussing innovative AI applications and leadership opportunities. Core Expertise: Machine Learning, Large Language Models, Neural Networks, Data Science, Software Testing AI, Research & Development, Technical Leadership Tooling: Python, PyTorch, TensorFlow, scikit-learn; C; Linux; data engineering; security-minded design Specialties: Machine Learning (tensorflow, pytorch, LLMs, sci-kit, SVM, XGB, nn, regressions etc.), IT management, Security, Programming (C, python, other scripting languages like perl, powershell etc.), Unix, Project Management, Neural Networks (recurrent, convolutional, feed-forw
Udacity
Deep Learning Nanodegree, Artificial Intelligence
January 1, 2017 – January 1, 2017
Wyższa Szkoła Zarządzania w Warszawie - The Polish Open University
Bachelor of Art, Finance and Business Information Systems
January 1, 2005 – January 1, 2009
Parasoft
Machine Learning Expert
February 1, 2022 – Present
Warsaw, Mazowieckie, Poland
Fudo Security
Machine Learning Expert
April 1, 2020 – January 1, 2022
Kraków
Fudo Security (Wheelsystems Inc.)
Machine Learning Engineer
November 1, 2017 – April 1, 2020
Warszawa
QPQP01
Entrepreneur
October 1, 2015 – Present
NETIA
Cloud Architect (External Consultant)
October 1, 2015 – October 1, 2017
GTS Poland
IT Operations Manager
July 1, 2009 – October 1, 2015
Warsaw Metropolitan Area
GTS Energis
MIS Manager
March 1, 2008 – July 1, 2009
GTS Energis
System & Netwok Security Coordinator
October 1, 2006 – March 1, 2008
GTS
Senior Network Security Specialist
January 1, 2005 – January 1, 2006
GTS INTERNET PARTNERS
Security Enineer
January 1, 2003 – January 1, 2005
GTS
Network Security Specialist
January 1, 2000 – January 1, 2005
Internet Partners
Security Specialist
January 1, 2000 – January 1, 2003
Internet Technologies
Security Specialist
January 1, 1998 – January 1, 2000
Fann2MQL
January 1, 2009 – Present
Fann2MQL is a Neural Network processing package for MetaTrader4. It enables anyone to write Expert Adviser or Indicator taking advantage of Fast Artificial Neural Network Library. It’s very simple and efficient. One can use up to 1024 network simultaneously without recompiling it and in the need for more power it allows for parallel multithreaded processing on multiprocessor (or multicore) computer taking full advantage of Intel® Threading Building Blocks technology.
Libptp
January 1, 2002 – Present
Libptp2 is still camera communicatio library I started back in 2001. It has number of forks and derived works like libmpt or gphoto2; it's present in this way or another in virtually every modern desktop linux distribution.
Natural Language Processing Nanodegree
Udacity
June 24, 2026 – Present
TensorFlow in Practice Specialization
Coursera
June 24, 2026 – Present
Sequences, Time Series and Prediction
Coursera
June 24, 2026 – Present
Natural Language Processing in TensorFlow
Coursera
June 24, 2026 – Present
Convolutional Neural Networks in TensorFlow
Coursera
June 24, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera
June 24, 2026 – Present
Commvault Certified Professional
Commvault
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse career path, transitioning from IT operations and security to specialized ML roles. The personal projects demonstrate a proactive and self-driven learning approach, which aligns well with an innovative culture. The focus on cybersecurity in recent ML roles suggests a strong alignment with problem-solving in critical domains. However, the lack of explicit team collaboration or mentorship examples in the ML-specific roles makes a full cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving team management and international project delivery in previous IT operations positions, suggesting leadership and collaboration skills. However, without psychometric test results or interview data, a definitive assessment of soft skills and operational fit is limited. The descriptions of personal projects like 'Libptp' and 'Fann2MQL' indicate initiative and a long-term commitment to open-source and specialized development.