About

An engineering career shaped by business problems.

Crawley, United Kingdom

I’m a Senior AI Engineer with a background in enterprise software, data engineering and analytics. I like understanding how a business works, then building software that helps people do their work better.

I started with enterprise web applications, working directly with clients through development, delivery and production support. I later moved into data pipelines, forecasting and customer analysis before specialising in applied AI.

Today I build AI agents and the backend services that connect them to data and business applications. I work on cloud infrastructure and deployment as well as evaluation and AI security. I also lead technical delivery, review architecture and help other engineers develop their skills.

My MBA adds a business perspective to those engineering decisions. I consider whether a system is useful, what it costs to run and who will maintain it. I’m also building a product of my own and sharing what I learn about AI through my writing.

How I work

A few principles I return to.

01

Start with the problem

I begin with the person, decision or process that needs to improve. The technology choice follows from that.

02

Build in security

I consider privacy, permissions and failure modes during design and development, then test the safeguards.

03

Connect engineering to value

I consider whether the work improves a decision, saves time or reduces cost, and what it takes to keep the system running.

04

Share what I know

I use documentation, workshops and mentoring to help others understand the work and contribute to it.

What I enjoy working on

Problems I am well placed to solve.

  • Connecting AI agents to useful tools and business workflows
  • Building backend services and cloud infrastructure
  • Making data useful for analysis, forecasting and AI
  • Evaluating AI behaviour and strengthening safeguards
  • Helping teams make technical decisions and deliver software

What shaped my perspective

Engineering depth, business context.

Engineering taught me how to make systems work. Analytics taught me to ask whether they improve a decision. AI engineering brings those perspectives together with security, evaluation and the responsibility of running a production system.

My MBA helps me consider the business choices alongside the technical ones, including cost, adoption and the value of the work.

Education

A technical foundation with a business perspective.

Master of Business Administration (MBA)

University of Liverpool Management School · 2022

Bachelor of Engineering (BE)

Madras Institute of Technology Campus · 2014