Matthew Lee
Senior Principal AI Engineer @ Medtronic
About
Not looking for new opportunities. Currently part time PhD student and computer vision engineer.
United Kingdom
Greater London
Information Technology & Services
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

Computer Vision Engineer
- 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

Artificial Intelligence MSc Student
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/)

DevOps Engineer
Freelance
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

DevOps Engineer
ONZO
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

Service Architect for Home Office Live Service
IBM
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.

Technical Lead of Service Acceptance team
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.

Extreme Blue Intern
- 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.
Matthew Lee's Contact Information
Phone
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