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Dennis Ampontuah

@dennisampontuah

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I build secure, scalable cloud and AI infrastructure for trading, payments, and investment intelligence platforms.

United Kingdom

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What I'm looking for

I'm looking to build secure, scalable cloud and AI infrastructure, automate delivery and operations, and solve high-impact reliability, security, and cost-efficiency challenges.

At Orasis Capital AI, I built an AI-powered investment intelligence platform from the ground up, covering backend architecture, APIs, cloud infrastructure, AI integrations, monitoring, and operational support. I redesigned the architecture and optimised models to reduce monthly cloud and Gemini costs from approximately £3,000 to £500.

Previously at Cypher Labs, I built low-latency infrastructure for cryptocurrency market making and migrated legacy EC2 operations to a secure, scalable EKS cluster. I improved workload setup time by around 70%, reduced container build times from over two hours to under 20 minutes, and strengthened Redis security with role-based access, TLS, and credential rotation.

At Checkout.com, I developed reusable Terraform modules adopted by more than 60 teams and helped standardise CI with secure, highly available self-hosted GitHub Runners on EKS. I also delivered AWS account provisioning that reduced AWS playground spending by 60%.

I've worked across AWS and GCP, Kubernetes, Terraform, CI/CD, monitoring, security, and distributed systems. I enjoy building reliable automation that removes operational friction while improving security, cost efficiency, and deployment speed.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Infrastructure Engineer

Current

Orasis Capital AI

Jan 2026 - Present (8 months)

Built an AI-powered investment intelligence platform from the ground up, designing and implementing backend architecture, APIs, and cloud infrastructure. Reduced platform operating costs by over 83% through architectural redesign and model optimisation.

GCP Serverless Event Driven Architecture CI CD Python AI Integration Cloud Architecture Monitoring

Education

Degrees, certifications, and relevant coursework

Imperial College London

Master of Engineering, Mechanical Engineering

2016 - 2020

Grade: 2:1

Pursued a Master of Engineering in Mechanical Engineering, achieving a 2:1. Relevant modules included Machine Learning, Optimisation, Computing, Machine System Dynamics, and Mathematics.

Maiden Erlegh School & Sixth Form

A Levels, General Studies

2009 - 2016

Grade: A, A*, A, A

Completed A Levels in Maths (A), Biology (A*), Chemistry (A), and Physics (A), and GCSEs with 9 A*s and 3 As. Recipient of the Highest Achievers' Award at both A-level and GCSE.