Liam Deacon
Senior Software Engineer at Antarctica Asset Management
Dorchester, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLiam Deacon is a Senior Software Engineer with 10 years of experience blending scientific research rigor with production-grade software and DevOps practices. He has built and shipped backend microservices, data pipelines and cloud-native deployments across aerospace, defence and financial services, often turning research prototypes into resilient systems. A PhD-trained scientist, he emphasizes repeatability through testing, validation and CI/CD, and has hands-on experience with Kafka, Airflow, Spark, Azure and Docker. Liam is an active open-source contributor who improved packaging and platform compatibility in notable projects like pymatgen and helped harden an open air-traffic simulator for PyPI distribution. He mentors junior engineers and leads technical design while keeping a curious tinkerer’s mindset—experimenting with IoT, ML and data visualisation in his spare time. Based in Dorchester, UK, he brings a pragmatic blend of academic depth and startup-scale delivery to complex engineering problems.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physical Chemistry, Doctor of Philosophy (Ph.D.), Physical Chemistry at University of Reading
Github Skills (12)
simulations10
simulation10
science10
traffic10
python10
numpy9
project-configuration9
materials-informatics9
material-components9
material39
material-design9
github6
Programming languages (10)
Github contributions (5)
TUDelft-CNS-ATM/bluesky
Nov 2018 - Nov 2018
The open source air traffic simulator
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:10 commits, 2 PRs in 1 day
Contributions summary:Liam primarily focused on improving the project's packaging and build process. They updated the `setup.py` file, adding data files and correcting license classifiers to meet PyPI standards. Additionally, they made changes to a simulation file, demonstrating work related to the core functionality of the air traffic simulator. These changes include modifications to the simulation and radar widget code, highlighting a focus on both application development and project structure.
urban-air-mobilitypythonwgs84conflict-resolutionsimulation
materialsproject/pymatgen
Jul 2016 - Jul 2016
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR in 1 day
Contributions summary:Liam primarily focused on enhancing the functionality and maintainability of the `pymatgen` library. Their contributions include fixing platform-specific issues related to path handling, developing a pure-Python fallback for computationally intensive coordinate utility functions, and incorporating pure-python fallbacks for optimizaiton and other core functions. They also addressed import order dependencies on Windows systems to improve the library's usability.
moleculespythonscienceelectronic-structurepowers
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