I'm a technically grounded, globally minded engineer and AI researcher with a passion for building systems that think, evolve, and empower. My dual citizenship (UK/US) and background in mechanical engineering offer a grounded, systems-oriented mindset, while my lifelong curiosity—nurtured and influenced by science fiction, early programming, and a childhood of quietly analyzing how my older siblings approached decisions—what worked, what didn't—and internalizing those patterns long before I understood the term 'reinforcement learning.
I view artificial intelligence as an Epochal Invention: one that's not just a technological leap, but a civilizational threshold. I've spent the past three years leading teams across startups and research efforts focused on agentic design patterns, multimodal AI, and recursive reasoning frameworks. Yet even in the most advanced projects, I never lose sight of the human element—the connections and collaborative spirit that bring meaning to the work.
I'm seeking opportunities to join forward-thinking teams tackling AI research problems with depth, creativity, and ethical intention. My approach blends technical leadership, a systems-engineering lens, and a commitment to lifelong learning, grounded in values of integrity, curiosity, and family.
North Carolina State University, Raleigh, NC
August 2018 – June 2022
Git, Java, C++, Python, Deep Learning, Reinforcement training, PyTorch, fastai, TypeScript/Node.js/Express, Prisma, Docker, AWS, SOLIDWORKS, ANSYS, Onshape, Creo, Fusion 360, HyperX, HyperMesh, Inventor, AutoDesk, FEA, Amesim, and MATLAB.
April 2023 - Present
Co-Founder, Chief Technology Officer, Co-Chairman of Board
TuTechy Technical Stack (Service-based architecture):
October 2022 – Present
Lead Pressure Control Systems (PCS) Engineer within the ECLSS Department
As the lead engineer for Space Perspective's spaceship pressure control system, I took full ownership of the PCS from inception to successful flight testing. I am responsible for the complete lifecycle of the pressure control system for a space capsule designed to reach the edge of space.
May 2022 – July 2022
Aerospace Structures Engineer
At Collier Aerospace, I conducted comprehensive structural trade studies that compared composite laminate with metallic structure designs for multiple aerospace contracts. My engineering work resulted in significant improvements to aerospace components.
For a (more) complete list of my projects, please visit the Projects Page.
Developed an AI reasoning system combining Monte Carlo Tree Search with LLMs to systematically explore solution paths for complex problems. Implemented self-evaluating algorithms that balance exploration vs. exploitation of promising reasoning paths, with performance scaling with compute time.
Transformed fantastic resource about Machine Learning and Deep learning concepts, with demonstrable code examples into a vector DB to serve RAG enabled agent, accessible via MCP; theorizing significant gains in Agentic Code generation of ML/AI focused projects when utilizing it.
Rebuild from scratch of (Harvard Students) Nguyen and Ardayfio's I-XRAY project: Setup TensorFlow enabled program to perform facial recognition on the livestream from RayBans Meta glasses. Ceased after facial detection proven; due to ethical dilemma with project.
Thanks for reading my resume! If you'd like to see more of my work, check out the links below.
View Software & AI Portfolio View Mechanical & Aerospace Engineering Projects View Undergraduate Experience