Open to opportunities

Przemysław Przybyszewski

@pprzybyszewski

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Accomplished Software Engineer specializing in AI and data solutions.

Poland

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What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and growth in AI and data solutions.

I am an accomplished Software Engineer with a specialization in Artificial Intelligence, particularly in Large Language Models (LLMs) and data-centric solutions. My career is dedicated to addressing complex business challenges through strategic technological innovation and scalable system architectures. With a robust background in cloud-native design and machine learning, I leverage technology as a tool to deliver impactful business solutions.

Currently, I work as a Contractor, focusing on AI/LLM/Data projects where I lead greenfield and early-stage initiatives. My experience includes designing and building AI/ML solutions (PyTorch/Tensorflow), most recently leveraging also LLMs (including and not limited to OpenAI/Gemini/Langchain/LlamaindexPrompt Engineering/RAG pipelines/AI agents), developing MLOps/LLMOps pipelines (Terraform/Kubernetes), data engineering pipelines (Spark/Flink) and creating cloud-native architectures on platforms like AWS and GCP. Previously, I served as CTO and Software Engineer at TensorSecurity, where I managed cross-functional teams and translated security needs into effective technical solutions.

My academic background includes a PhD candidacy in Quantitative Methods and a Master's degree in Data Science from the Warsaw School of Economics. I have co-authored several research papers on AI applications in healthcare and traffic optimization, and I am actively exploring advancements in LLMs and blockchain technologies to drive innovation in decentralized computing systems.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer (AI/LLM/Data Focus)

Current

Self Employed

Jan 2021 - Present (4 years 4 months)

Led greenfield and early-stage projects focusing on rapid delivery and strategic feature development. Designed and built AI/ML solutions leveraging LLMs, MLOps/LLMOps pipelines, cloud-native architectures (AWS/GCP), and full-stack data platforms, bridging business objectives with data-driven and AI-powered solutions.

AI LLM MLOps LLMOps AWS GCP Cloud Native Architecture Data Platform Python Machine Learning

CTO, Architect, and Software Engineer

TensorSecurity

Jan 2020 - Dec 2021 (1 year 11 months)

Designed and led the development of a Kubernetes security enhancement platform. Managed cross-functional teams, translating security needs into effective technical solutions.

Kubernetes Security Engineering Software Architecture Team Leadership Technical Solutions Platform Development

Security Engineer

Bytedance AI Lab

Jan 2019 - Dec 2020 (1 year 11 months)

Developed anti-fraud solutions leveraging deep learning, big data processing, and security platforms. Contributed to building internal WAF/IDS/IPS systems.

Deep Learning Big Data WAF IDS IPS Python

Research Team Member

Warsaw University of Technology

Jan 2019 - Dec 2020 (1 year 11 months)

Collaborated with Google on research focused on deep neural networks. Investigated methods for 3D scene visual localization.

Neural Networks Research Collaboration Machine Learning

Research Team Member

Interdisciplinary Centre for Mathematical and Computational

Jan 2018 - Dec 2018 (11 months)

Co-authored research focusing on deep learning applications in medical imaging. Specifically contributed to estimating Achilles tendon recovery.

Deep Learning Medical Imaging Research Achilles Tendon Recovery Machine Learning

Software and AI Engineer

Cherrypick Games

Jan 2017 - Dec 2021 (4 years 11 months)

Designed GCP-based data infrastructure to support ad-hoc analysis and machine learning modeling. Enabled business intelligence capabilities within the gaming industry.

GCP Data Infrastructure Machine Learning Business Intelligence

Software Engineer in Machine Learning

Deepsense.ai

Jan 2017 - Dec 2019 (2 years 11 months)

Developed various ML applications, including the Neptune platform for data scientists. Contributed to deep learning solutions for ingredient extraction and cloud-agnostic data science environments.

Machine Learning Deep Learning Neptune Data Science

Java Developer

Direct Communication

Jan 2017 - Dec 2017 (11 months)

Built and integrated CPQ solutions tailored for Swedish clients. Worked across full-stack Java, Javascript, and SQL Server environments.

Java JavaScript SQL Server CPQ Full Stack Integration

Education

Degrees, certifications, and relevant coursework

Warsaw School of Economics

PhD Candidate, Quantitative Methods

Pursuing advanced research and coursework in quantitative methods. Focusing on theoretical frameworks and practical applications in complex data analysis.

Warsaw School of Economics

Master's Degree, Data Science

Completed graduate-level studies focusing on data science principles and techniques. Gained expertise in machine learning, statistical modeling, and data-driven problem solving.

University of Warsaw

Bachelor’s Degree, Computer Science

Studied foundational computer science concepts, including programming, algorithms, and data structures. Developed core skills in software development and computational thinking.

Warsaw School of Economics

Bachelor’s Degree, Quantitative Methods in Economics

Completed undergraduate studies applying quantitative methods to economic analysis. Focused on statistical techniques, econometrics, and mathematical modeling in economic contexts.