Ben McClusky
Chemical Engineer turned Machine Learning Engineer. Currently researching Distributed Multi-Agent Reinforcement Learning at Imperial College London. Former Special Projects at Hypergrowth Startup
Experience
Imperial College London
MSc Computing (AI + ML)
Currently undertaking 1-year program at the top 10 globally ranked university. My thesis focuses on applying reinforcement learning to large-scale distributed multi-agent systems.
Hiccup
Machine Learning Engineer
Second data hire at the seed-stage, VC-backed automated fashion brand, built and scaled much of the core data infrastructure including web scraping systems and state-of-the-art machine learning models.
Skills
Expertise
Deep Learning
Reinforcement Learning
Computer Vision
Natural Language Processing
Web Scraping
Technical Skills
Python
SQL
JavaScript
PyTorch
NumPy
Pandas
Git
Docker
Kubernetes
Core Skills
Problem Solving
Determination
Communication
Teamwork
Fun
Projects
Collection of some of my best projects, click on the project to find out more.
Distributed Multi-Agent Reinforcement Learning
Exploring how to apply multi-agent reinforcement learning to large scale distributed systems
Property Listing Scraping
Automated the work of 5 people through building a web scraping system for property listings
Darkstore Location Strategy
Developed geospatial machine learning model which led the expansion strategy of Gorillas UK
Top-Down Order Forecasting
Redefined order forecasting methodology, helping Gorillas UK become leader in operational efficiency