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Jonas Kgomo

Jonas Kgomo

Software engineer and technical leader building AI infrastructure and products

Talent
LondonMember since September 1, 2026
GoTypeScriptReactNext.jsAI model trainingFormal verificationLeanCoqAutomated theorem provingSystem designOptimizationDeveloper toolsML systems engineeringCompute optimization
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GoTypeScriptReactNext.jsAI model training

About

Software engineer and technical leader building AI infrastructure and products. Expertise: ML systems engineering, LLM training/finetuning, formal methods, and developer tools. Founded multiple technical products, including Explore Policy, Veridity, Merit, and Delphi.

Experience

Director & Engineering Lead at Equiano Institute (2023-04 – Present) • Lead engineering strategy and ML systems for research projects. Manage AI model training and fine-tuning initiatives with OpenAI.

  • Founded and direct a research lab focused on AI safety, alignment, and policy in developing markets.
  • Built the institute's public website and core technical infrastructure.
  • Delivered research and technical projects for clients including UNDP, London City Intelligence, and the Tony Blair Institute (TBI).
  • Train teams on compute optimization and AI system design through workshops and mentorship.
  • Led 50+ translation teams and 10+ research groups across AI safety, policy, and technical alignment. Founder & Lead at Merit (AI Hiring Simulation Initiative) (2026 – Present) • Built proof-of-work hiring platform using AI to simulate and optimize recruitment workflows.
  • Built from concept to working product; full stack development (frontend, backend, ML pipeline). Founder, Engineering Lead & Simulation Manager at Explore Policy (2026 – Present) • Lead the engineering and simulation initiative, managing three engineers and policy researchers building an interactive AI policy simulation and governance explorer. Founder & Chief Engineer at Veridity (AI Verification Research App) (2026 – Present) • Built a verification-guided research application exploring the correctness of AI-generated code through formal verification and machine-checkable proofs.
  • Technical focus: formal methods (Lean, Coq), AI security, and automated verification workflows.

Research

Collaborator & Software Engineer at Harvard Ash Center & University of Cambridge (2024-03 – Present) • Cambridge (with Fields Medalist Timothy Gowers): developing software infrastructure for automated theorem proving using Lean and Coq; building verification tools for AI-assisted proofs.

  • Harvard Ash Center: research on governance of emerging technologies with technical implementation focus.

Software

Engineer at Tribe Community Platform (2021-04 – 2021-08) • Developed reusable component library using React, Next.js, TypeScript; established patterns used across 5+ customer deployments.

Software

Developer at Bohr Technology (2018-12 – 2019-04) • Researched and implemented quantum optimization algorithms for Travelling Salesman Problem using ProjectQ framework; benchmarked against classical solvers.

Founder In

Residence at Entrepreneur First (2022-08 – 2022-12) • Selected as 1 of 50 founders from 1,000+ applicants for top-tier tech talent accelerator.

Program

Lead at VR First, Bahçeşehir University (2016 – 2018) • Led developer education on immersive technology and VR systems; built curriculum and mentored 50+ engineers.

Education

MSc in Advanced Computer Science – University of Sussex (2021 – 2023-08)

BSc in Mathematics – Istanbul University (2012-09 – 2016)

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