CV

Professional Experience

Deep Learning Researcher

Warsaw University of Technology | Oct 2021 – Present

• Developing novel hierarchical, unsupervised, and plastic reinforcement learning algorithms
• Focusing on transfer and continual learning capabilities in RL systems
• Publishing research at top ML conferences including ICLR, ICML, and NeurIPS

Venture Fellow

Creator Fund | Apr 2023 – Feb 2024

• Conducted technical due diligence calls with early-stage deep tech founders
• Evaluated ML/AI technology stacks and provided investment recommendations
• Sourced and screened potential investment opportunities

Deep Learning Engineer

Samsung Research | Nov 2021 – May 2022

• Developed containerized inspection tools for audio dataset analysis
• Implemented efficient dataset management using DVC and Git
• Improved project iteration speed and cross-team data sharing

Machine Learning Engineer

Airspace Intelligence | May 2021 – Oct 2021

• Deployed Python microservices for airport operations optimization
• Improved prediction accuracy through enhanced traffic analysis
• Created interactive data visualizations for operational insights

Data Scientist

Scope Fluids | Oct 2018 – May 2021

• Reduced bacterial growth prediction error from 10% to 3% using RNNs
• Deployed Bayesian optimization tools for parameter tuning
• Established MLOps practices for model deployment and monitoring

R&D Software Intern

SpaceForest | Jul 2018 – Aug 2018

• Developed MATLAB extensions for rocket simulation software
• Designed PID control systems for the CARBONARA 2 rocket
• Implemented 2D and 3D visualization tools

Education

PhD in Computer Science

Warsaw University of Technology | Oct 2021 – Present

• Research: Continual Learning in Hierarchical Reinforcement Learning
• Advisors: Prof. Tomasz Trzciński, Prof. Piotr Miłoś
• Focus on scalable and adaptive learning algorithms

M.S. in Data Science

Warsaw University of Technology | Oct 2019 – Feb 2021

• Thesis: Autoencoder-Based Methods for Bacteria Growth Detection
• Advisor: Prof. Tomasz Gabrin
• Exchange at Universitat Politècnica de Catalunya

B.E. in Automation and Robotics

Warsaw University of Technology | Oct 2015 – Feb 2019

• Thesis: Multisensory Data Fusion from Sensors with Different Sampling Time
• Advisor: Prof. Marcin Żugaj
• Focus on control systems and sensor fusion

Academic Service

Conference Presentations

• Main Track Speaker, MLinPL 2024
• Session Chair, Data Science Summit 2022

Reviewing

• ICML 2024