Hello, I'm
Achilleas Georgiou

Machine Learning Engineer with 8+ years of experience and a strong full stack product engineering background. Hands on across the stack, including frontend product work, and comfortable taking ideas from ambiguous starting points through prototype to production. Strong focus on solving real problems without unnecessary complexity.

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

The food & wellness diary powered by you. Journal your day and discover what makes you feel good - and what doesn't.

AnQR (Inactive)
AnQR (Inactive)

AnQR (Inactive)

2023

Real-time voice AI platform. Scan QR codes to talk with AI characters, powered by LiveKit WebRTC and LLM orchestration.

AqUA

AqUA

2021

Event-based analysis pipeline for astrocyte calcium imaging. Integrates behavioral data to map Ca2+ activity hotspots across states. Published in Science Advances.

DeepLab V3

DeepLab V3

2017

Deep learning segmentation of White Matter Hyperintensities in brain MRI using DeepLab V3. WMH Segmentation Challenge entry, published in NeuroImage.