Jordan Burgess
Verified Expert in Engineering
Software Developer
Jordan is a machine learning researcher and full-stack engineer. He works as a research scientist at Amazon on in NLP and ML. He has six years professional software development experience working in data science, front-end web, and Android technologies. Jordan has a master's degree in machine learning from Cambridge University and a M.Eng. degree in engineering from Cambridge and MIT.
Portfolio
Experience
Availability
Preferred Environment
PyCharm, Git, Unix
The most amazing...
...machine learning idea I've developed is a way to create one-shot learning classifiers using a Bayesian update on existing CNNs.
Work Experience
Applied Scientist
Amazon
- Researched and developed spoken language understanding (SLU) models for Amazon Alexa.
- Built custom machine translation pipeline to use existing English data, halving the time and data requirements to bootstrap Alexa’s natural language understanding (NLU) models for new languages (saving $ millions).
- Refactored a large, legacy codebase to unify every locale's process for training NLU models using test-driven development. Sped up the ordering process 25x. Reduced requirements for managing the process from 20 to 6 FTEs.
- Mentored the team on rigorous software engineering practices. Became one of six "trusted reviewers" after only five months.
Senior Machine Learning Engineer
Bloomsbury AI
- Developed machine learning models for question answering, combining research in deep learning and machine reasoning using Python, Sklearn, and TensorFlow.
- Built a question-answering interaction and debugging tool in React.
- Built an interactive question-answering bot using probabilisitic logic.
Software Engineer
Lumi
- Led development of a web app (Python/JavaScript) and instigated a user-centered redesign which increased retention 400%.
- Switched to full-time Android development, helping create an app used by over 100k people.
Co-founder and CTO
Elective.com
- Built a platform to connect patients with worldwide medical providers.
- Built partnerships with international dentists and booked over £160,000 worth of consultations.
Technology Scholar
Cambridge Consultants
- Debugged processor design using an FPGA (C/Python/Assembly).
- Led the technical team in creating a touchscreen device to show appliance-level real-time energy use.
Experience
One-Shot Learning in Discriminative Neural Networks
https://arxiv.org/abs/1707.05562Skills
Languages
Python, JavaScript, C, Assembly Language, Java
Other
Machine Learning, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT), Lean Startups, Unix Shell Scripting, Lean Development, Deep Learning
Frameworks
Django, Flask, Svelte
Tools
Git, MATLAB, PyCharm, Sketch
Paradigms
Agile, Agile Software Development
Libraries/APIs
Scikit-learn, NumPy, Pandas, TensorFlow, React, PyTorch
Platforms
Unix, Amazon Web Services (AWS), iOS, Android, Meteor
Storage
PostGIS, PostgreSQL, MongoDB
Education
Master's Degree (M.Phil.) in Machine Learning, Speech and Language Technology
University of Cambridge - Cambridge, UK
Master of Engineering Degree (M.Eng.) in Manufacturing Engineering
University of Cambridge - Cambridge, UK
Visiting Scholar in Engineering and Computer Science
MIT - Cambridge, MA
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring