A little about me

Hi, I'm Stephen.

I'm a passionate data scientist and cloud engineer specializing in building scalable AI solutions and cloud infrastructure. With expertise spanning from machine learning operations to cloud architecture, I focus on transforming complex data challenges into actionable insights and efficient systems.

Currently working as a Senior Cloud and AI Engineer at 4most in London, I've designed and deployed agentic workflows using cutting-edge LLM technologies, reduced operational costs by 75% through strategic cloud migrations, and built reusable ML frameworks that dramatically improve team productivity.

I'm passionate about leveraging AI and cloud technologies to solve real-world problems, whether it's building intelligent investment bots, creating educational platforms powered by AI, or developing comprehensive analytics systems processing millions of data points.

Technical focus: Machine learning operations, cloud architecture, large language models, data engineering.

Cloud platforms: Azure, GCP, AWS, Databricks.

Programming: Python, SQL, R, Java.

My values

Impact-first engineering.

I care most about shipping solutions that meaningfully improve people's work—whether that's cutting hours of manual effort down to seconds or unlocking new ways of using data and AI.

Never stop learning.

From Databricks and ML Ops to the latest in LLMs, I'm constantly experimenting, studying, and sharing what I learn through internal training, talks, and reusable frameworks.

Build with others.

Some of my favourite work has come from close collaboration with engineers, analysts, and business stakeholders—aligning on problems, sharing context, and iterating quickly together.

Clarity and simplicity.

Whether it's an agentic workflow or a migration plan, I aim to make complex systems understandable—clear diagrams, well-structured code, and documentation that people actually use.

Humility and kindness.

I try to be easy to work with: open to feedback, generous with help, and respectful of different backgrounds and experiences on a team.