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Member of Technical Staff, Research
I am a physicist, AI researcher, machine learning engineer, and solution architect with 10+ years of experience spanning academia, startups, and enterprise. My current work focuses on agentic AI systems, reasoning reliability, AI robustness, and scientific applications of AI. As a Researcher at FirstPrinciples, I’m developing a next-generation agentic AI system tailored for the scientific domain, with particular emphasis on AI safety, reasoning reliability, and interpretability/auditability of the reasoning traces. Previously, as a Senior Technical Solution Architect at IBM, I designed scalable enterprise AI solutions, conducted AI system audits, and advised organizations on the responsible adoption of advanced AI technologies. I also led executive-level technical discussions, delivered corporate training programs, and served as a technical lead within IBM’s Data & AI organization. Before IBM, I was a Visiting Assistant Professor at the University of Southern California (USC) and a Visiting Researcher at the Information Sciences Institute (ISI), where I conducted research on scientific machine learning, in-context learning, federated learning, and continuous learning. In my supervisory role, I guided three Ph.D. students and eight capstone projects to completion while managing a team of several graduate and undergraduate researchers. Earlier, as Lead Research Scientist at Fetch.ai, I led the development of novel decentralized consensus protocols, researched novel vector attacks on decentralized systems, and coordinated the work of our engineering and research teams with key stakeholders. Specialties: Agentic Systems, Large Language Models (LLMs), AI Safety & Robustness, Scientific AI, Distributed Systems, Federated Learning, Quantum Computing, Machine Learning, NLP, RAG, Cryptography, Systems Architecture, Python, C++, and Mathematical Modeling.
Jagiellonian University
Interdisciplinary studies: Society - Environment - Technology
January 1, 2012 – January 1, 2015
Jagiellonian University
Doctor of Philosophy (Ph.D.), Theoretical Physics
January 1, 2011 – January 1, 2016
Jagiellonian University
Bachelor of Applied Science (B.A.Sc.), Computer Science
January 1, 2009 – January 1, 2012
Jagiellonian University
Master's Degree, Physics
January 1, 2006 – January 1, 2011
FirstPrinciples
Member of Technical Staff, Research
May 1, 2026 – Present
Los Angeles, CA · Remote
IBM
Senior Technical Solution Architect
June 1, 2024 – April 1, 2026
On-site
University of Southern California
Visiting Assistant Professor
August 1, 2023 – May 1, 2024
Los Angeles, California, United States
University of Southern California
Postdoctoral Scholar
July 1, 2020 – August 1, 2023
Los Angeles, California, United States
Information Sciences Institute
Visiting Researcher
July 1, 2020 – May 1, 2024
Los Angeles, California, United States
Fetch.AI
Lead Research Scientist
February 1, 2019 – May 1, 2020
Fetch.AI
Machine Learning Scientist
July 1, 2018 – February 1, 2019
TypeScore
Machine Learning Engineer
August 1, 2016 – June 1, 2018
London, United Kingdom
Jagiellonian University
Graduate Teaching Assistant
February 1, 2013 – June 1, 2014
Kraków, Poland
Jagiellonian University
Graduate Researcher
October 1, 2011 – August 1, 2016
Kraków, Poland
Jagiellonian University
Technical Publication Editor
November 1, 2009 – June 1, 2014
Kraków, Poland
Car Parking Agents on the Fetch.ai Network: A Use Case Demonstration
February 1, 2019 – November 1, 2019
While working at Fetch.AI, I developed a proof-of-concept that later evolved into a Car Parking Agents application on the Fetch.ai Network.
Consensus protocol for Fetch’s distributed ledger
July 1, 2018 – May 1, 2020
I have designed a novel consensus protocol with high throughput and robust security guarantees for Fetch’s distributed ledger.
Open Risk Exchange (ORX)
August 1, 2017 – November 1, 2018
Open Risk Exchange (ORX) is the first online portal offering free credit scores for businesses in the United Kingdom. The score is built with help of complex statistical modelling and machine learning algorithms combined with a wide variety of structured and unstructured data sources.
watsonx.ai Practitioner Mastery
IBM
June 24, 2026 – Present
Cambridge English: Advanced (CAE)
Cambridge English
June 24, 2026 – Present
Education Insights and Solutions (Gold)
IBM
June 24, 2026 – Present
IBM Recognized Teacher/Educator
IBM
June 24, 2026 – Present
IBM Mentor
IBM
June 24, 2026 – Present
Advanced Open Water Diver
PADI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across academia (Jagiellonian University, USC), research institutions (Information Sciences Institute), and industry (Fetch.AI, TypeScore, IBM, FirstPrinciples) suggests adaptability and a broad perspective. Their involvement in founding a Machine Learning for Natural Sciences group and leading collaborative projects indicates a proactive and collaborative mindset. The transition from theoretical physics to applied AI and data analysis demonstrates intellectual curiosity and a willingness to embrace new challenges, which aligns well with innovative and dynamic work environments. However, the target role of 'Data Analyst' might be a step down from their current and past senior/lead research and architect roles, potentially indicating a mismatch in ambition or a desire for a different type of challenge. The lack of specific 'Data Analyst' roles in their history, despite strong analytical skills, could be a point of consideration for cultural fit within a dedicated data analysis team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentoring, and communication skills through their roles as Senior Technical Solution Architect at IBM, Visiting Assistant Professor at USC, and Lead Research Scientist at Fetch.AI. Their experience in leading executive-level technical discussions, delivering corporate training, and supervising theses indicates excellent operational fit for roles requiring both technical depth and interpersonal influence. The high student evaluation scores as a Graduate Teaching Assistant further support strong communication and teaching abilities.