About Me

I’m a Software Engineer focused on building scalable APIs, AI-driven systems, and high-performance backend platforms. I enjoy turning complex machine learning problems/data problems into reliable, production-ready systems with real-world impact.

Skills

AI & ML Systems

Production ML & Agentic Systems

LLMs, inference optimisation, deployment pipelines

PythonSageMakerTritonLLMsAgentic AI

Backend Engineering

APIs & Distributed Systems

Scalable APIs and high-throughput services

PythonFastAPIFlaskJava

Engineering Quality

Testing, reliability, and delivery standards

PytestCI/CDBDDLoad Testing

Cloud & MLOps

Infrastructure & Deployment

Cloud-native ML systems and CI/CD pipelines

AWSKubernetesDockerArgoCD

Observability

Monitoring, logging, system debugging

MetricsLoggingDashboardsStreamlit

Leadership

Technical Ownership

Cross-team delivery and stakeholder alignment

LeadershipCommunicationOwnership

Experience

Software Engineer – AI & ML Applications

Fitch Ratings

London, UKSep 2025 – Present

PythonKubernetesAzure/AWSAgentic AICI/CDCLIs
  • Delivered production AI applications from PoCs. This involved creating reliable architechture, models with auditable paths and ability to retrain and the CICDs/DevOps required for deployment and monitoring
  • Defined and implemented LLM validation processes
  • Optimised model deployment, code efficiency, and performance monitoring
  • Led team practices to improve software engineering standards
  • Built centralised model repository with CLI and version tracking

Software Engineer – AI Platform

Tractable

London, UKJun 2024 – Sep 2025

PythonAWSSageMakerTritonStreamlitHarnessCI/CD
  • Managed customer-facing API and ML platform for high-volume predictions of damage on a vehicle
  • Working with researchers to understand scope and requirements for the ML workflow, to implement and efficient, auditable codebase
  • Enhanced deployment pipelines with testing and reliability improvements
  • Built live monitoring UI for debugging and demoable workflow visualisation
  • Scaled Triton-hosted models and optimised processing times and capacity

Software Engineer – API Creation

The Hut Group

Manchester, UKApr 2023 – Jun 2024

PythonReactBDDKubernetes
  • Led development of internal client APIs and feature roll-outs
  • Built React UI showing API status and incidents
  • Created BDD test suite for end-to-end testing
  • Managed a client and feature rollout for this client
  • Championed Tech She Can initiative and completed Scrum Master training

Education

Masters of Mechanical Engineering, MEng

The University of Sheffield

Sheffield, UK2016 – 2021

First Class
  • Year in Industry at Jaguar Land Rover: Optimisation processes in engine development
  • Master’s Thesis: Bayesian Online Change Point Detection for Acoustic Emission
  • Implemented unsupervised learning to detect changes in real time