ROLE

Frontend Engineer

LOCATION

Heidelberg, Germany

FOCUS

AI/ML Engineering

MSc Applied Data Science & Artificial Intelligence

Building production software,
AI-powered systems.

Frontend Engineer with 3+ years of professional experience delivering production software for governments and enterprise clients. Currently pursuing an MSc in Applied Data Science & Artificial Intelligence while building modern AI systems.

View GitHub
Explore My Work→

3+

Years Professional Experience

6+

Production Systems

Gov

Government & Enterprise

MSc

Applied Data Science & AI

01

Currently Building

AI Applications

LLM-backed features in production UIs

LLM Experiments

Prompting, evals, retrieval pipelines

Distributed Systems

APIs, queues, service boundaries

Data Engineering

ETL, feature pipelines, SQL modeling

Production Frontends

React, SvelteKit, TypeScript

Cloud Infrastructure

CI/CD, AWS, containerized deploys

02

Production Systems

Software delivered for governments and enterprise organisations.

01

Frontend Engineer

Bokamoso Human Capital Investment Loans Platform

National Manpower Development Secretariat (NMDS), Lesotho

Frontend for a government platform that digitizes student loan and sponsorship management — giving applicants, borrowers, administrators, and government stakeholders a centralized system for education funding.

Government TechnologyFrontend EngineeringAPI IntegrationResponsive Design
Read Case Study→
02

Frontend Engineer

Election Transmission System

National election infrastructure

Real-time transmission platform for national election results, built for accuracy and reliability under high-load, time-critical conditions.

Real-Time SystemsPerformanceGovernment Software
Read Case Study→
03

Frontend Engineer

NUMEX

Enterprise Software

Enterprise software platform supporting financial and accounting workflows through modern, scalable web interfaces.

Enterprise SoftwareFrontend EngineeringFinancial SystemsAPI Integration
Read Case Study→
03

Engineering Projects

Projects built to explore new technologies and solve meaningful problems.

Dyslexia Management Platform

A tool for tracking and supporting dyslexia intervention progress, built to make reading support data legible for educators and caregivers.

ReactTypeScriptNode.js
Read More→

Bundesliga Analytics Platform

A statistics and analytics interface for Bundesliga match data — exploring how spending and performance metrics relate over a season.

ReactPythonData Viz
Read More→
04

AI Lab

Experiments, prototypes and research as I transition into AI Engineering.

01

Machine Learning

Classification, ensembles, evaluation

→02

LLMs

Prompting, agents, tool use

→03

RAG

Retrieval-augmented generation

→04

Computer Vision

Applied CV for sensor systems

→05

Data Engineering

Pipelines feeding ML systems

→
05

Engineering Principles

Clean Architecture

Boundaries that make change cheap, not expensive.

Maintainability

Code written for the engineer who reads it next.

Testing

Confidence to ship, not ceremony for its own sake.

Accessibility

Software that works for the people using it.

Performance

Fast by default, measured — not assumed.

Continuous Learning

Currently deep in data science & AI.

06

Contact

Let's build something worth trusting.

Emailfrederickakuffojr@gmail.com→LinkedInin/frederick-akuffo→GitHub@fredizenn→