Hello, I'm
Achilleas Georgiou

Product-minded AI engineer turning data into data products, from idea to production. Experience in ML and data science, agent integration, and full-stack delivery across backend and UI - translating models and pipelines into product features and services that deliver impact and value.

2024 – Present

Lead AI Machine Learning Engineer

Huq Industries
London, UK

Developing AI-powered location analytics products. Built end-to-end retail site selection tool for enterprise clients - full-stack integrations, agentic AI workflows, interactive analytics.

2020 – 2024

Data Scientist

Bluegrove
Norway, Trondheim & Oslo

Designed, implemented and deployed deep learning system to predict appetite of salmon from hydroacoustic signals for autonomous/assisted feeding running on edge devices.

2019 – 2020

Communications Engineer

Military Service
Cyprus

Built a web app to coordinate civilian evacuation missions (COVID-19 repatriation).

2018 – 2019

Research Internship - Data Scientist

OIST Graduate University
Japan, Okinawa

Data analysis of astrocyte calcium activity and neuron-astrocyte interactions. Collaborated with neuroscientists to process and analyse two-photon microscopy data of neuron-astrocyte interactions.

2017 – 2018

Machine Learning Engineer

Resurgo Genetics
Cambridge, UK

Deep learning genomics for next generation therapeutics. Implemented deep learning genomics architectures to predict regulatory activity along large scale DNA sequences & infrastructure for running and monitoring ML experiments.

2016 – 2017

MSc Computational Statistics and Machine Learning (CSML)

University College London (UCL)
London, UK
Unsupervised and Probabilistic Learning
Approximate Inference
Supervised Learning
Reinforcement Learning
Deep Learning
Bioinformatics
Applied Machine Learning

In collaboration with Gatsby Computational Neuroscience Unit and Google DeepMind.

Dissertation: 3D Fully Convolutional Network for multiple sclerosis (MS) lesion segmentation.
2011 – 2016

BSc (Hons) Computer Science and Mathematics

University of St Andrews
Scotland, UK
Algorithms
Data structures
Discrete and Applied Mathematics
Computer science dissertation: Puzzle generation using Constraint Programming - Implemented a mobile puzzle game and applied constraint programming to generate puzzles.
Mathematics dissertation: History of Neural Network architectures - Hebb's rule, Perceptron, Hopfield Nets, Restricted Boltzmann machines.

Projects

Triggerbites

Triggerbites

2026

Log meals like texting a friend. AI-powered food diary that identifies dietary triggers without the tedious forms.

AnQR (Inactive)
AnQR (Inactive)

AnQR (Inactive)

2023

Create AI characters anchored to real-world QR codes - turning everyday objects into interactive AI storytellers.

AqUA

AqUA

2021

Publication in Science Advances. Data analysis of astrocyte calcium activity and neuron-astrocyte interactions

DeepLab V3

DeepLab V3

2017

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge