Software Engineer, Google Cloud

NYC US - 2024 - 2025

Working on Monarch, a planet-scale, in-memory time series database system primarily used for monitoring performance, availability, load, and other operational metrics of large-scale applications and infrastructure. Monarch is a multi-tenant service capable of ingesting terabytes of data per second, storing nearly a petabyte of time series data in memory, and handling millions of queries every second.

Software Engineer, Google Cloud Go-to-Market

NYC US & London UK, 2023 - 2024

Engineered an advanced recommendation platform to integrate seamlessly with sales workflows, aligning customer requirements with tailored cloud solutions. The platform leverages novel research to chain multiple large language model (LLM) agents, employing Generative AI to map customer needs to optimised cloud architectures, cost projections, and deployment strategies.

Solutions Engineer, Google Professional Services

London UK - 2022

Developed and open-sourced robust tools for in-depth website performance analysis and optimisation, empowering businesses to enhance user experience and operational efficiency. Provided consulting to major advertising clients, delivering tailored strategies to significantly improve website performance, maximise ROI, and competitiveness.

Senior Software Engineer

London UK - 2017 - 2022

Played a key role in developing reporting automation platforms and led the strategic shift from legacy thick clients to advanced, feature-rich web applications. Managed a team of two engineers to enhance the data analytics platform utilised by the accounting team, driving improvements in efficiency, scalability, and functionality that directly supported data-driven decision-making across the organisation.

Software Engineer, Industrial Placement

London UK - 2015 - 2016

• Team I (6 months): Graph theory and high-performance browser-based rendering techniques for visualising complex dependencies across thousands of heterogeneous, cross-system batch jobs executing daily processes. Developed both live and replayable visualisations to improve real-time observability and post-event analysis, significantly reducing operational toil associated with debugging and system monitoring. This solution enhanced system transparency, facilitating faster issue resolution and deeper insights into inter-process dependencies.
• Team II (6 months): Work on JVM agents to accurately identify active class usage within a large-scale Java and Scala codebase running across thousands of production machines. Moving beyond artefact-level checks, these agents precisely tracked code utilisation in live environments, enabling targeted deprecation and facilitating the cleanup of a substantial percentage of redundant code. This initiative optimised the codebase, improving maintainability and performance across the system.

Multiple Startups (CTO, Engineer)

Manchester UK - 2014 - 2018

Served as CTO, senior software engineer, and consultant for multiple startups, immersing in entrepreneurship across industries such as game development, sports, and data analytics. Led the development of multi-platform applications designed for scalability and reliability, deployed at scale on AWS to meet diverse user needs and operational demands.