Gael Reinaudi — Director of Engineering
We are entering a world where companies will not just use AI tools. They will be reorganized around systems that can reason, act, coordinate, and scale work in entirely new ways. That transition is full of promise, and full of traps. At Tactical Edge AI, my work focuses on building for that shift. I work at the intersection of Python, LLM systems, agentic orchestration, AI governance, and the practical realities of making intelligent systems useful inside real businesses. What makes this interesting to me is not just building agents. It is understanding the infinite design space around them: what they can become, where they break, what should be automated, what should not, and what kind of architecture, feedback loops, and guardrails are needed for the whole thing to remain coherent over time. I break things down until they truly make sense. Black box systems have their place. What I do not like is hand waving around them. I care about understanding how they behave, where they fail, and what needs to surround them for them to be truly useful in the real world. My background spans quantum physics, machine learning, high performance technical environments, and startup engineering. Today I work on turning advanced AI ideas into production ready systems, practical tooling, and operating models that create real leverage rather than chaos. I am particularly interested in the next generation of AI infrastructure: systems that help businesses deploy autonomy with control, move faster without silently accumulating fragility, and rethink how engineering and decision making work in the agentic era. Core areas: Python, agentic orchestration, LLM systems, AI governance, rapid prototyping, explainability, production AI, autonomous workflows. Also: FAA certified pilot, airplane owner, maker, physicist, and occasional builder of ridiculous things.
Stackforce AI infers this person is a leader in AI infrastructure and orchestration for enterprise applications.
Location: New York, New York, United States
Experience: 21 yrs 2 mos
Skills
- Ai Software Development
- Agentic Ai Development
- Software Architecture
- Software Development
- Data Science
- Machine Learning
- Applied Research
Career Highlights
- Expert in AI governance and orchestration.
- PhD in Quantum Physics with extensive research experience.
- Proven track record in building scalable AI systems.
Work Experience
Tactical Edge AI
Director of Engineering & Chief Agentic Orchestrator (1 yr 3 mos)
Projectory AI
Director of Engineering (1 yr 3 mos)
Latour Trading LLC
Quantitative Developer (9 mos)
Sinecure, Inc.
Co-Founder & Chief Technology Officer (2 yrs 11 mos)
J.P. Morgan
Data Scientist Manager - Machine Learning, Vice President at RoarData (J.P. Morgan) (2 yrs 11 mos)
Ronin Capital
Algo-Trader, Lead Developer, Lead Data Scientist (2 yrs 8 mos)
GTS / Strike Technologies, LLC
Technologist Developer (2 yrs 2 mos)
Columbia University (New York)
Associate Research Scientist (2 yrs)
Post-doc research associate (2 yrs 6 mos)
Palais de la découverte (scientific museum)
Scientific expert demonstrator (1 yr 9 mos)
Laboratoire Kassler Brossel, Ecole Normale Supérieure
PhD (3 yrs 11 mos)
Lycée Janson de Sailly
Examiner (11 mos)
Education
Doctor of Philosophy - PhD at Ecole normale supérieure
Master's degree at Ecole normale supérieure
Classe préparatoire aux grandes écoles at Lycée Descartes (Tours)