
Jordan Burgess
Verified Expert in Engineering
Software Developer
Cambridge, United Kingdom
Toptal member since August 22, 2017
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
- Python - 8 years
- JavaScript - 5 years
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/1707.05562Education
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
Skills
Libraries/APIs
Scikit-learn, NumPy, Pandas, TensorFlow, React, PyTorch
Tools
Git, MATLAB, PyCharm, Sketch
Languages
Python, JavaScript, C, Assembly Language, Java
Frameworks
Django, Flask, Svelte
Paradigms
Agile, Agile Software Development
Platforms
Unix, Amazon Web Services (AWS), iOS, Android, Meteor
Storage
PostGIS, PostgreSQL, MongoDB
Other
Machine Learning, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Lean Startups, Unix Shell Scripting, Lean Development, Deep Learning
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