Kevin Cloutier

VP of Engineering

New York, New York, United States14 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in robotics and embedded AI research.
  • Led cross-functional teams to develop autonomous systems.
  • Proven track record in AI-powered embedded solutions.
Stackforce AI infers this person is a Robotics and Embedded AI expert with a focus on autonomous systems.

Contact

Skills

Core Skills

RoboticsEmbedded SystemsArtificial Intelligence (ai)

Other Skills

Machine LearningGenAIESP32 MicrocontrollersIntel 80516502FPGAPhysical AIMicrocontrollersTrossen RoboticsUniversal RobotsComputer VisionIntel Edge AI SuitesIntel GetiIntel Robotics Vision & ControlNVIDIA Isaac

About

Advancing Robotics Through Applied Research on Next‑Generation Compute. I’m m a robotics and embedded AI researcher focused on building real, working autonomous systems that push the limits of modern compute. Through a funded R&D fellowship supported by Intel, I design, prototype, and validate robotics platforms that blend real‑time AI, sensor fusion, and heterogeneous compute (CPU/GPU/NPU/FPGA) into tightly integrated physical systems. My work sits at the intersection of robotics, embedded systems, and compute architecture. I stay deeply hands‑on, building perception pipelines, architecting embedded platforms, implementing real‑time control, and developing autonomous behaviors that allow robots to perceive, decide, and act safely in dynamic environments. I specialize in turning emerging compute technologies into validated robotics capabilities, bridging early‑stage research with deployable engineering. Core Focus Areas: • Robotics R&D using embedded systems, autonomy stacks, and real‑time AI • Sensor fusion, control loops, and FPGA‑accelerated perception pipelines • Integrating multimodal and visual‑language models into embodied systems • Developing autonomous behaviors for navigation, manipulation, and HRI • Leading cross‑functional research initiatives from concept to prototype

Experience

14 yrs 9 mos
Total Experience
2 yrs 3 mos
Average Tenure
2 yrs 3 mos
Current Experience

Capgemini engineering

3 roles

Director of Robotics & Physical AI | Intel Fellow

Promoted

May 2025Present · 1 yr 1 mo · New York City Metropolitan Area

  • Leading applied robotics research funded by Intel to design, prototype, and validate next‑generation autonomous systems built on heterogeneous compute (CPU/GPU/NPU/FPGA). I develop full‑stack robotics platforms that integrate real‑time AI, sensor fusion, and embedded control into working physical systems used to evaluate emerging compute architectures.
  • Key Contributions:
  • Build full‑stack robotics prototypes using embedded systems, autonomy stacks, and real‑time AI.
  • Develop perception and sensor‑fusion pipelines using depth sensing, multimodal inputs, and FPGA‑accelerated compute.
  • Integrate multimodal and VLM models into embodied systems for advanced physical intelligence.
  • Validate robotics workloads on heterogeneous compute to inform Intel’s embedded AI roadmap.
  • Lead applied research from concept to prototype, including hardware‑in‑the‑loop testing.
  • Design embedded platforms and real‑time control loops for safe, deterministic robotic behavior.
Artificial Intelligence (AI)Machine LearningGenAIEmbedded SystemsESP32 MicrocontrollersIntel 8051+4

Director of Embedded AI & Edge Intelligence

Mar 2024May 2025 · 1 yr 2 mos · New York City Metropolitan Area

  • Led applied R&D programs delivering AI‑powered embedded systems across semiconductor, IoT, robotics, telecom, and industrial automation. Combined hands‑on engineering with client‑facing leadership to design architectures, build PoCs, and deploy AI models optimized for constrained, real‑time hardware environments.
  • Key Contributions:
  • Built embedded AI systems for robotics, telecom, and industrial clients using edge compute and real‑time control.
  • Developed edge AI and federated learning pipelines optimized for low‑power, latency‑sensitive devices.
  • Designed FPGA‑accelerated inference architectures including custom soft‑core and hardware‑aware model optimizations.
  • Delivered client‑facing PoCs that translated emerging AI research into deployable embedded solutions.
  • Provided technical guidance on embedded AI adoption, model optimization, and system integration strategies.
Artificial Intelligence (AI)Machine LearningGenAIEmbedded SystemsESP32 MicrocontrollersMicrocontrollers+5

Technical Director, Innovative Products and Consulting

Sep 2018Jul 2022 · 3 yrs 10 mos · New York City Metropolitan Area

  • As a Technical Director, I bridge the gap between engineering and business development, working closely with sales teams and prospective clients to define high-impact, feasible solutions. I specialize in translating complex technical capabilities into tangible business value, demonstrating expertise through custom Proof-of-Concepts (PoCs) and helping clients bring cutting-edge innovations to market.
  • Key Contributions:
  • Led technology innovation across industries, delivering solutions for LiDAR-based forklift vision, IIoT machine learning, and medical robotics
  • Secured tens of millions in new business by crafting technically compelling proposals aligned with client needs
  • Provided value-driven consulting and system engineering, optimizing architectures for enterprise systems, industrial electronics, and medical robotics
  • Drove projects at the intersection of R&D and commercialization, ensuring technologies transition smoothly from concept to deployment

H2scan corporation

Director of Advanced Engineering | Embedded Systems & Sensing Platforms

Jul 2022Mar 2024 · 1 yr 8 mos · New York City Metropolitan Area

  • Led a multidisciplinary engineering organization (Computer, Electrical, Mechanical, Firmware, Software) delivering next‑generation hydrogen sensing and monitoring systems. Drove hands‑on R&D, embedded platform design, and product modernization for a 20‑year‑old industrial startup transitioning to connected, intelligent sensing solutions.
  • Key Contributions:
  • Delivered a stalled ASIC program by re‑architecting workflows and leading it through successful tape‑out and production.
  • Architected the company’s IoT platform, transforming standalone sensors into a connected, cloud‑integrated ecosystem.
  • Led embedded systems development across firmware, electronics, and real‑time sensing pipelines.
  • Partnered with OEMs to integrate H2scan’s sensing technology into industrial and energy‑sector products.
  • Directed cross‑functional engineering execution, aligning R&D, product, and manufacturing toward scalable platform delivery.

Villanova university

Adjunct Faculty - Computer Science

Jul 2017Jan 2019 · 1 yr 6 mos · Greater Philadelphia

  • Adjunct faculty of Computer Science for undergraduate courses. Teaching and related duties vary with specific course(s) being taught.
  • Taught CSC 4300 (Computer Graphics) exploring the mathematical and algorithmic principles of computer graphics while experimenting with the latest technologies through the use of WebGL, Blender, three.js and more.

Rda corporation

2 roles

Director of Application Support and Principal Engineering Consultant

May 2015Apr 2018 · 2 yrs 11 mos · Greater Philadelphia

Senior Software Engineer

Sep 2011Aug 2014 · 2 yrs 11 mos · Greater Philadelphia

Comcast cable

Principal Solution Architect

Aug 2014May 2015 · 9 mos · Philadelphia, PA

Education

Villanova University

Master of Science — Computer Engineering

Villanova University

Master of Science — Computer Science

Boston University

Bachelor of Arts (B.A.)

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