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PP@pprzybyszewski
Accomplished Software Engineer specializing in AI and data solutions.
PolandI 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.
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Work history, roles, and key accomplishments
Self Employed
Jan 2021 - Present (4 years 10 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.
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.
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.
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.
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.
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.
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.
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.
Degrees, certifications, and relevant coursework
WEPhD Candidate, Quantitative Methods
Pursuing advanced research and coursework in quantitative methods. Focusing on theoretical frameworks and practical applications in complex data analysis.
WEMaster'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.
UWBachelor’s Degree, Computer Science
Studied foundational computer science concepts, including programming, algorithms, and data structures. Developed core skills in software development and computational thinking.
WEBachelor’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.
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PolandYou can contact Przemysław and 90k+ other talented remote workers on Himalayas.
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