Marcin Abram
Senior Technical Solution Architect at IBM
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolMarcin Abram is a physicist-turned-AI researcher and engineer with nearly a decade of experience building robust, auditable agentic AI systems across academia, startups, and enterprise. He currently develops physics-aware, multi-agent AI for scientific discovery with a strong emphasis on reasoning reliability, interpretability, and safety. At IBM he translated executive strategy into scalable GenAI and RAG solutions and led technical audits and training programs for responsible AI adoption. His background spans theoretical physics, decentralized consensus design, federated learning and production ML stacks in Python/C++, giving him a rare blend of deep scientific modeling and systems engineering. Notably, he has supervised multiple Ph.D. students, published interdisciplinary research used to optimize materials synthesis, and prototyped consensus/security primitives later reviewed by investors and partners.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Theoretical Physics, Doctor of Philosophy (Ph.D.) Theoretical Physics at Jagiellonian University
Polish, English
Github Skills (2)
machine-learning2
discovery2
Programming languages (2)
Github contributions (5)
marcinabram/marcinabram.github.io
Apr 2017 - Sep 2024
Public page
Contributions:40 pushes, 2 branches in 7 years 6 months
marcinabram/topological_transitions
Mar 2022 - Jun 2022
Contributions:5 commits, 7 pushes, 1 branch in 2 months
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