Justin Glibert, Developer in Beaumont, Belgium
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Justin Glibert

Verified Expert  in Engineering

Reinforcement Learning Developer

Beaumont, Belgium
Toptal Member Since
July 9, 2020

Justin is an expert in machine learning. He is specialized in vision, generative modeling, and control problems. From training GANs (generative adversarial networks) used by millions of people around the globe to solving hard control problems in the financial market using reinforcement learning, Justin incorporates the latest ideas and techniques from academia into a production-ready product.



Preferred Environment

Vim Text Editor, Zoom, Slack, MacOS

The most amazing...

...thing I have developed is a GAN which generated cartoon characters interactively. A month after we put online, it entertained 1 million users.

Work Experience

Research Scientist

2020 - PRESENT
  • Designed, trained, and built a high-frequency algorithmic trading model powered by Reinforcement Learning. It operates globally and 24/7 in the cryptocurrency market.
  • Carried out a literature review in the reinforcement learning and finance scenes. Read 100+ papers and compiled a list of techniques that show statistical evidence of being useful.
  • Built a high-performance data collection engine in Node.js.
  • Built a high-performance trading engine in asynchronous Node.js.
Technologies: Reinforcement Learning, PyTorch


2019 - PRESENT
Lit Software Ltd.
  • Built an AI-powered customer support solution for eCommerce companies. Currently, our biggest client is a Chinese eCommerce company with more than $2 million in annual turnover.
  • Designed, trained, and deployed to production the various AI models we use for the product. It includes NLP and Speech recognition models.
  • Led the team during product development and fundraising.
Technologies: React, PyTorch

Research Scientist

2019 - 2019
  • Designed and trained a generative adversarial network that was used in production by more than 1 million people in less than a month. It had the most realistic and pleasant looking output ever at that time.
  • Built a high performance rendering pipeline in C++ to generate the training data for the above project.
  • Designed and developed a good looking UI for using the model above.
  • Carried out a literature review of the different techniques used to improve the convergence of GANs. Read 100+ papers.
Technologies: Mathematics, TensorFlow, PyTorch

Clearcall: AI Powered Customer Support Service for eCommerce

Clearcall is an AI platform that puts eCommerce customer support on autopilot when their support team is sleeping. It understands the problems of their customers, automates repetitive processes, and collects the information their support agents need.
I led the project and designed, trained, and deployed the various AI models used in the product.
2016 - 2020

Integrated Master's Degree in Computer Science and Electronics

The University of Edinburgh - Edinburgh, Scotland


PyTorch, TensorFlow, Node.js, React


Slack, Zoom, Vim Text Editor






Artificial Intelligence (AI), Machine Learning, Generative Adversarial Networks (GANs), Reinforcement Learning, Deep Reinforcement Learning, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Mathematics, Information Theory, Game Theory

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