Experience

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.

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.

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.

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.

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.