Summary
Mahan Tourkaman is an AI-first founder and collaborator with 8 years of engineering experience, focused on dramatically accelerating longevity research by optimizing AI inference and building missing R&D infrastructure at scale. He leads a stealth biotech initiative aiming for full human rejuvenation within a single-digit-year timeline while also supporting allied projects through chip-accelerated inference, lab automation, and operations. Based in Stockholm, he combines a strong ML and electrical engineering background from KTH with hands-on experience building bespoke AI assistants, high-performance research tools, and real-time dashboards. Mahan moves between product engineering, technical ops, and strategic growth—bootstrapping data centers, robotic testing, and drug development pipelines when needed. He is active in the Longevity Biotech Fellowship and has secured grant support (1517 Fund) while helping early-stage teams like Sapient Artifice and Dragonase scale AI and multi-agent tooling. Notably, he brings a sense of extreme urgency and systems-level thinking: prioritizing inference speedups that unlock faster discovery across many teams.
8 years of coding experience
4 years of employment as a software developer
Deep Learning and Reinforcement Learning, Deep Learning and Reinforcement Learning at EEML Summer School
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at KTH Royal Institute of Technology
High School Diploma, Natural Sciences, High School Diploma, Natural Sciences at Sjödalsgymnasiet
Artificial Intelligence and Games, Artificial Intelligence and Games at 3rd International Summer School on Artificial Intelligence and Games
Entrepreneurship Summer School, Entrepreneurship Summer School at Solvay Brussels School of Economics and Management
English, German, Persian, Swedish