Tom Fleet
Software Engineer
About
I am a highly motivated, detail-oriented and experienced self-taught software engineer with a background in aerospace engineering and materials science. I am highly proficient in Python, Go, AWS, REST APIs and microservices/distributed systems and take pride in producing reliable, clean, robust and well-documented software and architectures. I also enjoy mentoring other engineers and sharing knowledge/experience in areas where I'm able to do so. In my spare time I'm constantly doing side projects and playing with new things, I have also open sourced a few projects, and am an active open source contributor and maintainer.
Work Experience
Chetwood Financial Ltd.
Wrexham, UK
Digital-first UK Bank
February 2023 – Present
Tech Lead
Promoted to technical lead of a cross-functional pod; setting a technical & strategic direction, designing higher level architectures, acting as a the organisation's SME for our area, and leading a team of several developers and QAs.
Highlights
- Led the initiative to design, build and release an entirely new easy access savings product, using a new core banking platform and working in full-stack, cross-functional pod.
- Created and rolled out a 'best practice baked in' template for a serverless application that was widely adopted and liked across the organisation.
- Introduced and championed the use of static typing in python code as well as significantly stricter linting, leading to a measurable reduction in production errors across a number of services.
- Developed a number of reusable components and deployment pipelines to uplift the efficiency of engineers both within and outside my direct team.
- Led a serverless workshop for developers new to the stack, upskilling them in AWS CloudFormation, SAM, Lambdas, API Gateway, DynamoDB etc.
- Participated in the interviewing and recruitment of new engineers up to staff level.
- Mentored new team members and helped to foster an attitude of engineering excellence and best practice within the team and across the function.
- Member of the Technical Leadership Forum and was heavily involved in a number of large initiatives across engineering including review/approval of complex arhictectural changes, adoption of new technologies and high impact security and compliance initiatives.
Chetwood Financial Ltd.
Wrexham, UK
Digital-first UK Bank
April 2022 – February 2023
Software Engineer
Python engineer working in a cross-functional pod focused on the development and maintenance of the custom built, in-house lending decision engine.
Highlights
- Key member of a high performing team responsible for a piece of critical infrastructure
- Coordinated and led the release of a novel dynamic pricing mechanism with a turn around time of just 9 days
- Managed regular releases of critical infrastructure including 3rd party integration layers and the in-house lending decision engine
Junkshon
Manchester, UK
Cloud migration SaaS provider
May 2021 – April 2022
Python Developer
Backend Python/Django developer split between backend development/maintenance and the implementation of machine learning feature sets on a proprietary web-based platform designed to facilitate cloud migrations.
Highlights
- Development and deployment of text classification microservices via Azure Functions and Openfaas. Also created a robust and reusable “cookiecutter” template for such services.
- Maintaining a large enterprise Django REST API, addressing bugs, implementing new API endpoints to expose to a react frontend, refactoring as necessary.
Previous Life
Various
Former career in Aerospace Engineering and Materials Science, details omitted for brevity.
June 2015 – May 2021
Engineer/scientist focused on advanced materials science, polymer and metallic composites applied to the aerospace industry both in large multinational corporations and smaller research labs.
Highlights
- Coordinated and led a number of research projects in advanced metal matrix composite technology, characterisation and manufacturing techniques.
- Published 2 research papers combining advanced computational techniques and materials science.
- Mixture of production support and R&D activities in polymer composite materials to support production of the Airbus A350-900 and -1000
Projects
- Pytoil: Python CLI to automate the development workflow
- Spok: A modern, concurrent task runner/build system written in Go.
- Nox: Python automation and testing toolkit (maintainer).
- msg: A lightweight console printing toolkit for Go CLIs.
- Tag: CLI to help automate semantic version releases and GitOps.
- Pymechtest: Python mechanical testing analysis library.
- Goignore: Handy Go CLI to generate gitignore files.
- Fatigue Damage Prediction: Using machine learning to accurately predict thermo-mechanical fatigue damage.
Contact
Nantwich UK
Education
-
2020 2019
-
2017 2013
Skills
Languages
Python
Go
Rust
DevOps
CI/CD
GitOps
GitHub Actions
Docker/Compose
Terraform
AWS SAM
CloudFormation
AWS
Lambda
DynamoDB
API Gateway
Step Functions
SQS/SNS
CodePipeline
SAR
Pinpoint
Kinesis/Firehose
SQL
MySQL
Postgres
SQL Server
General
Testing/TDD
Packaging/Deployment
Documentation
Git/GitHub
Shell/Command Line
REST/GraphQL
Agile
Publications
Modelling of the Overcasting Reinforcement Process using the LS-DYNA ® ICFD Solver
12th European LS-Dyna Conference 2019
01 October 2019
Innovative use of CFD models combined with liquid metal crystallisation and genetic algorithms in order to predict liquid-solid aluminium bonding to a composite insert.
A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation
MDPI Sensors
30 November 2020
Application of machine learning techniques to thermo-mechanical fatigue damage prediction in aerospace materials.
Interests
Music
Guitar
Drums
Gigs
Motor Racing
Formula 1
WRC
Science & Technology
Astronomy
Physics
Materials Science
Spaceflight
Robotics
Open Source
Contributing
Maintenance
Collaboration
Side Projects