News

  • October 2025 — Awarded MIET professional designation from the Institution of Engineering and Technology.
  • October 2025 — Earned Fellowship of the Royal Society of Arts (FRSA) for contributions to AI innovation and ethics.
  • October 2025 — Earned four new Scrum.org certifications: Professional Scrum Facilitation Skills (PSFS), Professional Product Discovery and Validation (PPDV), Professional Agile Leadership – Evidence Based Management (PAL-EBM), and Professional Scrum with Kanban (PSK I).
  • September 2025 — Completed tenure as Chief Technology Officer at Harbor AI, scaling the company from zero to $4M ARR within six months.
  • April 2025 — Completed ISO/IEC 27001, 27005, GDPR, PIPEDA, and DPO certifications with ITCERTS.
  • August 2024 — Presented “Machine Learning Sensors for Edge Intelligence” at Ai4 2024 in Las Vegas, including a featured poster session on interpretable on-device ML frameworks.
  • May 2024 — Co-authored the RobotPerf Benchmark paper presented at the IEEE International Conference on Robotics and Automation (ICRA 2024).
  • April 2024 — Joined the Forbes Technology Council.
  • October 2024 — Speaker at the AI Best Practices Panel, Drake Risk & Opportunity Forum, Des Moines, IA.
  • March 2024 — Research on Machine Learning Sensors featured in Nature Machine Intelligence.
  • November 2023 — Published “Is TinyML Sustainable?” in Communications of the ACM (CACM), highlighting environmental and design challenges for on-device machine learning.

Work Experience

Harbor AI

Dates: [April 2024 – September 2025]
  • Position: Chief Technology Officer
  • Focus: Oversaw the development of AI-driven underwriting infrastructure for the insurance industry, automating commercial risk assessment and policy lifecycle management.
  • Achievements: Scaled the company from zero to $4M ARR in six months; built microperil modeling pipelines, data governance systems, and strategic partnerships with major brokers and carriers.
  • Collaborators: Korneel Van den Berghe, Izzie Alvarez, Kavitha Siratla

Harvard University – Edge Computing Lab

Dates: [January 2023 – April 2024]
  • Position: Postdoctoral Researcher
  • Focus: Conducted research on edge intelligence, machine learning sensors, and neuromorphic computing, integrating lightweight ML into distributed systems for sustainability and interpretability.
  • Publications: Nature Machine Intelligence, Communications of the ACM, Nature Communications, SIGARCH, ICRA, Elektor Magazine, and MLSys.
  • Collaborators: Prof. Vijay Janapa Reddi, Dr. Pete Warden, Dr. Brian Plancher, Dr. Colby Banbury
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Education

 
 
 
 
 
September 2017 – March 2023
United States

Ph.D.

Harvard University

Doctor of Philosophy in Engineering Sciences with Data Science
 
 
 
 
 
September 2017 – May 2020
United States

Master's in Passing

Harvard University

Master of Science in Engineering Sciences
 
 
 
 
 
September 2013 – June 2017
United Kingdom/Singapore

BEng/MEng Student

Imperial College London

Integrated Bachelor/Master Degree in Mechanical Engineering with a Year Abroad

Teaching

[Teaching Fellow] CS249r: Tiny Machine Learning. School of Engineering and Applied Sciences, Harvard University. Spring 2023

[Teaching Fellow] ES120: Engineering by Case Study. School of Engineering and Applied Sciences, Harvard University. Spring 2018–2021

Awards

  • Kennedy Memorial Trust Scholarship (2022)
  • Student Poster Award at AAAR Conference (2019)
  • Stonington Endowment Graduate Fellowship at Harvard University (2018,2019)
  • Certificate of Distinction in Teaching at Harvard University (Spring 2018, 2019, 2021)
  • Imperial College Dean’s List (Top 10% of students, 2014,2015,2016,2017)
  • Thomas Harley Charity Scholarship (2013,2014,2015,2016)