Experience

Delivery-focused work across AI, quant, and product. I run tight loops, keep stakeholders aligned, and land shipped outcomes.

Switchboard AI — Founder & CEO
Jan 2025 – Dec 2025
  • Led end-to-end research, design, and implementation of a best-in-class LLM routing engine using semantic routing, cost-latency optimization, and dynamic fallback strategies. Architected full-stack AI platform on GCP with microservices (Next.js, Express, Python, PyTorch, Supabase) designed for horizontal scalability and sub-100ms model arbitration.
  • Built distributed inference pipelines with real-time analytics, automatic evaluation systems, and self-improving routing graphs using transformer architectures and Bayesian neural networks—reducing operational overhead while improving reliability.
  • Secured $500K in Google Cloud credits through startup programs, enabling aggressive experimentation and infrastructure scaling. Drove customer development and market positioning, leading partnerships with early adopters to validate performance in production workloads.
  • Shaped product roadmap balancing research exploration with practical delivery. Developed comprehensive financial models and pitch materials targeting mid-market businesses across development, finance, consulting, and legal sectors.
  • Established engineering processes emphasizing fast iteration, high test coverage, and traceable decision-making while guiding contributors across backend, ML systems, and frontend.
Petroineos — Risk & Quant Analyst
Apr 2023 – Oct 2024
  • Role and Responsibilities: My work focused on accurately reporting trading PnL and assessing the health of active positions relative to trading limits across gas, power, emissions, shipping and products teams.
  • Technical Skills: Proficient in Python (pandas, plotly), PowerBI, Excel, and VBA (which I self-taught for automating workflow and report production), Endur and Symphony.
  • Contributions: Automation of the company's VAR calculations, collaborated across the entire business to connect teams, and leveraged my shipping knowledge to develop the Shipping Business Unit monitoring and reporting.
Mirage Technology (AR startup) — Founder & CEO
Apr 2021 – Jul 2023
  • Entrepreneurship and Leadership: Solo founder that built a team to collaborate on the development of an augmented reality mobile application. I led a team of four developers and several contractors using agile methods to manage operations, product management, and to successfully build an alpha product.
  • Technical and Design Skills: Skilled in front-end development with React, TypeScript, Dart, and Flutter, and possess expertise in UX/UI design to create enhanced user experiences.
  • Business Acumen and Networking: Successfully secured research and entrepreneurship grants through fundraising, pitching and marketing. Managed the finances and accounting of the business and used my strong networking abilities to garner investor relationships.
Guinness Ventures — Data Analyst
Feb 2022 – Dec 2022
  • Internship Outcomes: Worked with investment teams to design a new CRM system architecture, utilizing Dynamics, Excel, Word, PowerPoint, PowerBI, Zendesk, and Mailchimp to optimize data processing and client communication.
  • Project Management Skills: Employed GANTT charts and RACI matrices to organize the CRM rollout.
  • Investment Experience: Participation in investment meetings, facilitated calculations of LTV and CAC, and leveraged my experience from Mirage to provide insights into the AR/VR/Crypto/Web3 sector for SEIS and EIS fund decisions.
Affinity Shipping — Data Scientist
Aug 2021 – Feb 2022
  • Financial Modeling: Used Python (pandas, numpy, scipy, plotly, matplotlib) and Microsoft Excel, conducting multivariate regression data analysis for a sustainable financial products team.
  • Carbon Markets Focus: Primarily focussed analysis on carbon and commodities markets to aid in structuring eco-financial deals with various shipping businesses.
  • Business Development: Led client pitches to sell shipping clients OTC EUAs for speculation and hedging against EU ETS regulations.
Education
MSc Computing — Imperial College London
Sep 2024 – Sep 2025
  • Grade: Merit
  • Software Engineering: Built web applications and microservices deployed to cloud platforms, while learning core software engineering principles from the Gang of Four design patterns and gaining experience with Agile and Scrum methodologies using Java.
  • System Programming and C++: Developed proficiency in C++ programming with deep understanding of memory management, computer architecture, and operating systems fundamentals.
  • Machine Learning: Progressed from basic ML concepts (decision trees, SVMs, neural networks) to advanced topics including evolutionary algorithms and quality-diversity methods. Built CNN architectures with PyTorch, learned transformer architectures, and implemented vision algorithms like SIFT, HOG, and ResNets.
  • Specific Modules: Explored fundamental algorithms including dynamic programming, graph traversal (DFS/BFS), and the Knapsack problem. Developed and deployed smart contracts on Ethereum and Optimism blockchains, learned about Layer 2 solutions and rollups, and recreated Bitcoin's blockchain locally.
BSc Physics — University of Bristol
Sep 2018 – Jul 2021
  • First Class Honours
  • Advanced Mathematics: Covered differential and integral calculus (including partial, total, and N-dimensional differentiation), vector calculus, Dirac delta function, Fourier analysis, complex analysis, and linear algebra, focusing on ODEs, complex functions, Cauchy-Riemann equations, contour integrals, Cauchy's residue theorem, and Green functions for ODEs and PDEs.
  • Computing and Data Science: Utilised Python (NumPy, SciPy, Pandas, Plotly, and Matplotlib) for data cleaning and visualization, applied correlation and multiple linear regression to complex datasets, performed principal component analysis for dimensionality reduction, and developed algorithms to solve physical problems, ensuring datasets from diverse sources were consistently structured and scientifically presented.
  • Advanced Physics Topics Studied: Special Relativity (length contraction, time dilation, Lorentz transformations), Electromagnetism (Maxwell's equations, magnetic fields, optical phenomena), Quantum Physics (Schrödinger equation, quantum models, wavefunctions), Statistical Mechanics (micro- and macro-states, entropy, Boltzmann distribution), Classical Mechanics, Properties of Matter and Thermodynamics, Oscillations and Waves (harmonic oscillators, wave motion), and solid-state physics including crystal structures, electron transport, and semiconductor physics.