Matthew Laird
Technical Lead, Digital Solutions at LiquidMatter Systems
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolMatthew Laird is a staff software developer and technical leader with 15+ years of hands-on experience building large-scale cloud, big data, and virtualization systems, and over two decades running client-facing IT infrastructure through his consultancy. He has led multi-million dollar projects from architecture and budgeting to delivery—most recently architecting a $7.6M Unity–Walmart immersive commerce platform and driving generative AI asset workflows at Unity. Comfortable coding across Perl, Python, C/C++, JavaScript and cloud services, he combines deep bioinformatics and HPC roots (contributions to BioPerl and Ensembl) with modern backend, API and deployment expertise. Known for automating deployments, designing high-availability computational clusters, and mentoring teams, he pairs pragmatic engineering with client-facing technical stewardship. Based in Vancouver, he still runs his own hosting/consulting practice, bringing an operator’s perspective to product-grade system design.
15 years of coding experience
24 years of employment as a software developer
Bachelor of Science (B.Sc.) computer science, Bachelor of Science (B.Sc.) computer science at The University of British ColumbiaLangara College
Github Skills (4)
bioinformatics10
perl10
bioperl10
testing8
Programming languages (14)
Github contributions (5)
bioperl/bioperl-live
Mar 2015 - Aug 2016
Core BioPerl 1.x code
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 2 PRs, 3 comments in 1 year 5 months
Contributions summary:Matthew contributed to the BioPerl core code by implementing and modifying functionalities related to sequence objects and codon tables. Their work included adding a new sequence object type, modifying how sequences are truncated, and correcting errors in codon translation. Furthermore, the user addressed formatting issues and added tests to improve code coverage and accuracy within the project. These commits suggest a focus on refining existing biological sequence processing capabilities.
bioperlbioinformaticsperltoolkit
lairdm/islandviewer
Sep 2013 - Jun 2016
Contributions:545 commits, 250 pushes, 2 branches in 2 years 9 months
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