Engineer with a background in ML modeling, data engineering and backend development, now focused on AI platforms and MLOps/LLMOps. I set technical direction and build researcher-facing systems for model deployment, training and experimentation, from APIs, SDKs and CLIs to CI/CD and reliability. I enjoy hands-on model development and training, including neural networks.
Open to opportunities
Bartosz Mielczarek
@bartoszmielczarek
AI platform engineer at Patronus AI who built researcher-facing deployment and experimentation systems.
PolandWhat I'm looking for
At Patronus AI, I own the architecture and hands-on delivery of researcher-facing systems for model deployment and experimentation. Researchers can launch deployments through an agent conversation, inspect behavior, refine parameters, and run GPU workloads without direct cluster access.
I also built SDKs and CLIs, MCP integrations, and data-ingestion services that connect engineering and research workflows. Across two externally managed H100/B200 Slurm clusters, I developed node recovery, monitoring, and configuration fault labeling, supporting more than 10 researchers and hundreds of training jobs.
Before Patronus AI, I developed production ML systems at STX Next, Acaisoft, Accenture, PKN Orlen, and PKO Bank Polski, spanning ticket pricing, computer vision, forecasting, fraud detection, and statistical modeling. I enjoy hands-on model development and training, and favor purpose-built tools and services over off-the-shelf solutions.
Experience
Work history, roles, and key accomplishments
Current
Member of Technical Staff (AI Platform / ML Systems)
Dec 2023 - Present (2 years 11 months)
Owned architecture and delivery of model-deployment and experimentation applications, building Python backends, APIs, and serving integrations. Set technical direction for AI platform and managed H100/B200 Slurm clusters, supporting researchers and training jobs.
Developed and deployed an XGBoost model for production ski-resort ticket pricing. Built computer-vision and similarity-search solutions with PyTorch, ONNX, and Qdrant, and graph-based recommendations using PyTorch Geometric and Neo4j.
AC
Data Scientist / Data Engineer / Mentor
Acaisoft
Jan 2021 - Aug 2022 (1 year 7 months)
Built Python ML services, forecasting/ranking/NLP workflows, and Spark/Airflow data pipelines on AWS and Kubernetes. Mentored engineers.
Delivered fraud detection, customer segmentation, predictive models, and cloud data pipelines for enterprise clients using Python, XGBoost, and Spark.
Senior Analyst
PKN Orlen
Feb 2017 - Oct 2017 (8 months)
Worked on retail segmentation and statistical analysis in R/SAS.
Statistical Modeling Specialist / Operations Support
Jun 2013 - Jan 2017 (3 years 7 months)
Built and validated statistical models and supported analytical reporting systems using SAS/SQL.
Education
Degrees, certifications, and relevant coursework
Warsaw University of Technology
Postgraduate Studies, Data Science / Big Data
2016 - 2017
Postgraduate studies in Data Science and Big Data at Warsaw University of Technology, completed in 2017.
SGH Warsaw School of Economics
Postgraduate Studies, Statistical Analysis & Data Mining
2015 - 2016
Postgraduate studies in Statistical Analysis and Data Mining at SGH Warsaw School of Economics, completed in 2016.
University of Warsaw
Master of Science, Financial Mathematics
2011 - 2014
M.Sc. in Financial Mathematics from the University of Warsaw, completed in 2014.
University of Warsaw
Bachelor of Science, Mathematics
2007 - 2011
B.Sc. in Mathematics from the University of Warsaw, completed in 2011.
Availability
Open to opportunities
Location
PolandAuthorized to work in
Salary expectations
140k+ USD
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