Machine Learning & Software Engineer
I am a final-year bachelor student at Warsaw University of Technology with a strong foundation in machine learning, data science, and software development, and a passion for AI in finance. I have authored papers on advanced models, including “Applying Informer for Option Pricing” (ICAART 2025), “Options Pricing Platform with NNs, LLMs & RL” (ACIIDS 2025, Best Student Paper), and “DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization” (PACIS 2025, A-tier). I also completed the EPAM Data Science Program in deep learning and MLOps. In October, I will begin an M.Sc. in Machine Learning to deepen my expertise.
Major: Bachelor of Engineering in Automatic Control & Robotics
Major: Master of Science in Machine Learning
My most recent paper presents a multi-agent RL framework that ensembles options‐based hedges to improve risk-adjusted returns and stabilize portfolios in volatile markets.
Integrated neural networks, volatility modeling, and sentiment analysis via LLMs into a hybrid option pricing model. Designed an RL trading strategy. Honored with Best Student Paper Award.
In this work, I explored Informer—a Transformer-based model—for option pricing, adapting it to this specific task and evaluating it against classical models.
Introduces MultiHedge: a system where agents specialize in options-based hedging (straddles, collars, etc.), powered by LLMs and memory-augmented RL. Delivers superior Sharpe and drawdown performance in multi-asset benchmarks.
Evaluates Informer, Autoformer, and TimesNet across three tasks: valuation of options, price forecasting over different horizons, and RL-based trading. Outperforms classical methods and GRUs across all stages.
Developed and maintained software applications using Python and JavaScript; analyzed market trends and optimized campaign strategies.
34-week intensive training on ML, DL, MLOps (Docker, MLflow) – average grade: 85%
Built React & .NET micro-frontends, implemented REST APIs, and automated CI/CD pipelines on Azure DevOps in cross-functional Agile teams.
Founder of a student research group focused on generative AI, large language models (LLMs), NLP, cognitive architectures, multi-agent systems, and argument modeling. Promotes practical applications in finance, economics, social sciences, and software engineering.
Led AI/LLM-oriented student projects, organized tech-business meetups, and managed a 10-member team delivering workshops and hackathons in Warsaw.
Collaborated on entrepreneurship projects addressing social challenges through innovation, with emphasis on leadership and cross-functional teamwork.
Coordinated school-wide events and represented students in leadership roles at the high school level.
Organized a volunteer-based environmental campaign that successfully engaged locals in cleaning a forest park. Developed leadership and event management skills.
Associated with Warsaw University of Technology. Received for paper “Options Pricing Platform with Neural Networks, LLMs and Reinforcement Learning.”
Honored at the Foundation for the Promotion and Accreditation of Economic Education for outstanding entrepreneurial achievements.