Matthew Lee

Matthew Lee

Senior Principal AI Engineer @ Medtronic

About

Not looking for new opportunities. Currently part time PhD student and computer vision engineer.

Country

United Kingdom

City

Greater London

Industry

Information Technology & Services

Skill

Machine Learning, Python, Deep Learning, Computer Vision, Cloud Computing, Statistics, Physics, TensorFlow, Pandas, Keras, AWS, Linux, Amazon Web Services (AWS), Docker, Terraform, Teamwork, Reinforcement Learning, Natural Language Processing (NLP), Support Vector Machine (SVM), Scikit-Learn

Experience

Medtronic

Senior Principal AI Engineer

Medtronic

LinkedIn
2026-7 - Present · 3 mos

London Area, United Kingdom

Building AI medical devices and AI for surgical robots Primarily computer vision

Medtronic Digital Technologies

Computer Vision Engineer

Medtronic Digital Technologies

LinkedIn
2019-9 - 2026-7 · 6 yrs 11 mos

- Building computer vision models using Deep Learning and PyTorch - Using both CNNs and LSTMs for video classification, segmentation and time-series analysis - Dockerising the models to ease deployment to production - Building metrics and utilities to support the development and measurement of models

Queen Mary University of London

Artificial Intelligence MSc Student

Queen Mary University of London

LinkedIn
2018-9 - 2019-9 · 1 yr 1 mo

London, United Kingdom

85% overall score with 86.5% in final project. Studying a broad range of AI and Machine Learning topics. Final project implemented cutting edge Deep Reinforcement Learning and Genetic Programming to solving Minecraft puzzles (MARLO: https://marlo.readthedocs.io/en/latest/)

Freelance

DevOps Engineer

Freelance

2018-2 - 2018-9 · 8 mos

Performing DevOps Engineering to deploy and maintain their applications on a Kubernetes cluster. Using Elasticsearch, Hashicorp Vault, Docker, AWS, Jenkins, Groovy and Helm. End client of the Home Office

ONZO

DevOps Engineer

ONZO

2017-8 - 2018-2 · 7 mos

London, United Kingdom

- Create and maintain CI/CD pipelines using SBT, Ruby and GoCD - Maintaining Prod and Non-prod Kubernetes cluster on AWS using Helm, Kops, Docker and Terraform. - Supporting a Big Data stack: Spark, Kafka, Scala, Python, Cassandra

IBM

Service Architect for Home Office Live Service

IBM

2017-6 - 2017-8 · 3 mos

Croydon, United Kingdom

- Working with IBM's Live Service team to provide Sys Admin, Devops and Technical Support to Client - Technical Management of the Duty Technician and App Technician teams. A total of 17 team members - Working closely with the Service Manager to plan work, handle customer requests and push back on non-contractual requirements.

IBM

Technical Lead of Service Acceptance team

IBM

LinkedIn
2014-10 - 2017-6 · 2 yrs 9 mos

London, United Kingdom

Technical Leadership of the live support team. Allowing them to support the client's transition to AWS. Trained the team in new technologies including: AWS, Terraform, Kubernetes, Vault, Sysdig, Jenkins, Puppet and Zabbix.

IBM

Extreme Blue Intern

IBM

LinkedIn
2013-6 - 2013-9 · 4 mos

- Created an app that gives laryngectomees their voice back, using voice banking. - Technical intern for the winning team Extreme Blue European Expo - Worked in a team of four to produce an innovative technology based medical solution for our client, a major pharmaceutical company.

AXA Partners

Bank Worker

AXA Partners

LinkedIn
2012-6 - 2013-6 · 1 yr 1 mo

- Customer service role in a call centre responding to vehicle breakdown calls.

Education

UCL

UCL

LinkedIn

Computer vision

2020 - 2025 · 5 yrs
Queen Mary University of London

Queen Mary University of London

LinkedIn

Artificial Intelligence

2018 - 2019 · 1 yr
Durham University

Durham University

LinkedIn

Physics

2010 - 2014 · 4 yrs
Udacity

Udacity

LinkedIn

Machine Learning

2017 - 2017

See profile and completed projects here: https://profiles.udacity.com/p/10851171280

Matthew Lee's Contact Information

Email

******@***.com

Phone

(**) *** ****

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