Gael Reinaudi

Director of Engineering

New York, New York, United States21 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI governance and orchestration.
  • PhD in Quantum Physics with extensive research experience.
  • Proven track record in building scalable AI systems.
Stackforce AI infers this person is a leader in AI infrastructure and orchestration for enterprise applications.

Contact

Skills

Core Skills

Ai Software DevelopmentAgentic Ai DevelopmentSoftware ArchitectureSoftware DevelopmentData ScienceMachine LearningApplied Research

Other Skills

AI AgentsHermes AgentGenerative AIAgentic AutomationOpenClawArtificial Intelligence (AI)Agentic WorkflowsAI SolutionsJenkinsSoftware DeploymentProblem SolvingObject-Oriented Programming (OOP)Large Language Models (LLM)Large Language Model Operations (LLMOps)Python (Programming Language)

About

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.

Experience

21 yrs 2 mos
Total Experience
2 yrs 6 mos
Average Tenure
1 yr 3 mos
Current Experience

Tactical edge ai

Director of Engineering & Chief Agentic Orchestrator

Feb 2025Present · 1 yr 3 mos · New York, NY

  • Leading the company’s shift toward an agentic operating model in which intelligent systems execute meaningful work across products and operations.
  • Architecting workflows where agents use tools, coordinate across systems, verify outputs, and operate inside clear guardrails.
  • Built SlopBuster and Connectory to help organizations scale AI driven execution without sacrificing quality, rigor, or future velocity.
  • Turning AI from an assistive layer into real operational leverage.
Software ArchitectureAI AgentsAI Software DevelopmentAgentic AI DevelopmentHermes AgentGenerative AI+5

Projectory ai

Director of Engineering

Feb 2025Present · 1 yr 3 mos

  • Building AI driven process orchestration systems for business workflows where consistency, trust, and execution quality matter.
  • Focused on turning complex AI assisted processes into reliable operational systems with strong validation and clear accountability.
Software ArchitectureAI Software DevelopmentHermes AgentOpenClaw

Latour trading llc

Quantitative Developer

May 2024Feb 2025 · 9 mos · New York, NY · On-site

  • Worked on high performance quantitative systems in a fast paced trading environment where software quality, speed, and reliability directly affected outcomes.
  • Contributed to the design, implementation, and deployment of production systems supporting trading workflows and quantitative infrastructure.
  • Operated in a setting that demanded strong analytical reasoning, careful engineering judgment, and rapid iteration under pressure.
JenkinsSoftware ArchitectureSoftware DeploymentProblem SolvingObject-Oriented Programming (OOP)Large Language Models (LLM)+13

Sinecure, inc.

Co-Founder & Chief Technology Officer

May 2021Apr 2024 · 2 yrs 11 mos · New York, United States

  • Co founded and led the technology strategy of the company from concept through product development.
  • Built the platform architecture and engineering foundation for knowledge centered systems designed to turn complex information into usable operational intelligence.
  • Led execution across product thinking, implementation, and technical direction.
RecruitingFlutterArtificial Neural NetworksSoftware ArchitectureSoftware DeploymentApplied Machine Learning+36

J.p. morgan

Data Scientist Manager - Machine Learning, Vice President at RoarData (J.P. Morgan)

Jun 2018May 2021 · 2 yrs 11 mos · Greater New York City Area

  • Led the development of machine learning framework components for the ROAR platform in a large scale enterprise environment.
  • Focused on turning ML capabilities into structured, production ready systems with the reliability, maintainability, and operational discipline required in a major institution.
  • Managed technical work across applied machine learning and engineering execution.
Artificial Neural NetworksSoftware ArchitectureSoftware DeploymentApplied Machine LearningConvolutional Neural Networks (CNN)Search Algorithms+29

Ronin capital

Algo-Trader, Lead Developer, Lead Data Scientist

Oct 2015Jun 2018 · 2 yrs 8 mos · Greater New York City Area · On-site

  • Led the development of algorithmic trading and data science systems combining quantitative modeling, software engineering, and real time market analysis.
  • Built tools and models for extracting structure from complex market data, including deep learning approaches and rich live visualizations of market microstructure.
  • Worked across research, implementation, and production oriented tooling in a domain where speed, clarity, and precision mattered.
Artificial Neural NetworksSoftware ArchitectureApplied Machine LearningConvolutional Neural Networks (CNN)Search AlgorithmsProblem Solving+23

Gts / strike technologies, llc

Technologist Developer

Apr 2013Jun 2015 · 2 yrs 2 mos · New York

  • Worked on software systems in a fast moving trading technology environment, contributing to development, deployment, and technical problem solving in production settings.
  • Built experience in the kind of engineering rigor and responsiveness required for high consequence systems.
JenkinsArtificial Neural NetworksSoftware ArchitectureApplied Machine LearningSearch AlgorithmsProblem Solving+15

Columbia university (new york)

2 roles

Associate Research Scientist

Mar 2011Mar 2013 · 2 yrs · New York

  • Conducted precision metrology research in atomic and molecular physics, combining experimental design with hands on engineering across lasers, electronics, mechanics, ultra high vacuum systems, and software.
  • Built and operated complex research infrastructure requiring both scientific rigor and practical problem solving.
  • Developed custom software and experimental frameworks to support advanced laboratory systems.
Artificial Neural NetworksSoftware ArchitectureApplied Machine LearningSearch AlgorithmsProblem SolvingAI Software Development+11

Post-doc research associate

Sep 2008Mar 2011 · 2 yrs 6 mos · New York

  • Worked on the development of an experimental platform for the production of ultracold molecules.
  • Contributed across the full stack of experimental physics, including system design, implementation, instrumentation, and software.
Artificial Neural NetworksSoftware ArchitectureApplied Machine LearningSearch AlgorithmsProblem SolvingAI Software Development+9

Palais de la découverte (scientific museum)

Scientific expert demonstrator

Sep 2006Jun 2008 · 1 yr 9 mos · Paris

  • Designed and delivered public physics demonstrations, translating complex scientific ideas into engaging live experiments and clear explanations.
Creative Problem Solving

Laboratoire kassler brossel, ecole normale supérieure

PhD

Sep 2004Aug 2008 · 3 yrs 11 mos · Paris

  • Completed doctoral research in the group led by Claude Cohen-Tannoudji (Nobel Laureate).
  • Worked on ultracold atom systems and experimental quantum physics at a high level of theoretical and practical rigor.
  • PhD thesis was later published as a book.
Software ArchitectureSearch AlgorithmsProblem SolvingSoftware DevelopmentData ScienceApplied Research+5

Lycée janson de sailly

Examiner

Aug 2004Jul 2005 · 11 mos · Paris

  • Conducted oral physics examinations for students preparing for highly competitive entrance exams to the Grandes Écoles.

Education

Ecole normale supérieure

Doctor of Philosophy - PhD — Quantum Physics

Jan 2005Jan 2008

Ecole normale supérieure

Master's degree — Quantun Physics

Jan 2001Jan 2005

Lycée Descartes (Tours)

Classe préparatoire aux grandes écoles

Jan 1998Jan 2001

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