top of page

Skills

LLM Application Development

Google Gemini - Gen AI SDK, Vertex AI SDK

Node.js / Express

Supabase

Empowered 100’s of local communities across the UK to rapidly extract actionable insights from large volumes of public engagement data with an AI platform.


The solution used multiple LLM agents to carry out thematic analysis, each of which was fine-tuned with prompts using Vertex Evals.

Full Stack Development

React
​Node.js / Express
Daily.co (video call)
​Supabase

Google Gemini - Gen AI SDK, Vertex AI SDK

Built a multi-user training platform for junior doctors, improving doctor-patient communication scores by an average of 23%.

The platform facilitates peer-to-peer practice and leverages AI to assess interview recordings, providing personalised feedback on aspects such as empathy and listening.

Product Analysis

PySpark / Python / SQL
Jupyter Notebooks
HDFS

Led a team of 4 Data Analysts to develop internal facing dashboards for 4000+ relationship managers at a Tier 1 International bank.
Ran complex queries in PySpark (SQL and Python) on large data sets to deliver insights to guide product development.

Data Analysis

PySpark / Python / SQL
Jupyter Notebooks
HDFS

Facilitated a 60% increase in annual ESG revenue (from $26 bn to $42 bn) at a Tier 1 international bank by delivering novel data insights.

I led a team of Analysts to deliver ETL pipelines to report key metrics, allowing the bank to role out new strategies targeting under-performing regions and increase products sold.

Project Management

Leadership & Team Management
Agile Delivery
JIRA

Enabled Relationship Managers to assess the real time impact of large lending deals ($100mn+) on the banks ESG targets by delivering an automated reporting tool.

I led a multi-disciplinary team to automate forecasting of Financed Emissions, reducing reporting frequency from quarterly to real-time.

Data Quality Assurance

PySpark / Python / SQL
Jupyter Notebooks
HDFS

Reduced data downtime by 26% by implementing rigorous automated testing on data pipelines to identify and resolve data reporting defects.


The solution flagged statistical anomalies to catch errors in upstream manual processes.

hi, I'm Fred

I build human-centred AI systems that don’t replace us...

but extend who we are.

Blending engineering, product strategy, and human-centred design, I help organisations transform complex challenges into simple, empowering solutions. My work turns knowledge into clarity, learning into acceleration, and community insight into action - so teams can focus on what matters most: creating lasting impact.

If you’re building products that help people learn, grow, and extend their capabilities, that’s where I do my best work.

Fred_Profile.jpg

My passion for human-centred AI begun with participating in research for the Algorithmic Human Development Group at Imperial College London. I took inspiration from this experience and applied these concepts to my own life - using AI to deepen my learning and personal development. These hands-on experiments reminded me why technology exists - to help humans, not replace them. Since then, I’ve been building tools that put that principle into practice.

My rich past has given me many valuable skills and experiences that I use every day. I graduated from Imperial College London, where writing a thesis on Systems Engineering made me fall in love with designing robust systems. I then built data pipelines in financial services, honing the craft of turning messy inputs into clean, decision-ready insights with reliable, repeatable workflows.

I now develop AI Systems, and for a few hours a week I tutor maths, which keeps me close to how people actually learn and reminds me that great tools respect attention, motivation, and context.

About Me

Education

MEng (1st) - Imperial College London

Full Stack Development - Full Stack Open

Systems Thinking for Sustainability - LIS

bottom of page