Will L
Programmer Analyst IT at Kingston Midstream
Calgary, Alberta, Canada
Summary
🤩
Rockstar🎓
Top SchoolWill L is a pragmatic Programmer Analyst with over 15 years of hands-on experience designing and delivering instrumentation-focused software, including UIs for down-hole pressure and temperature monitoring, data visualization of large telemetry sets, and automated calibration tools. He blends embedded systems collaboration with full-stack web work—Angular front ends, Java REST APIs, and SQL backends—while applying Agile and TDD practices and DevOps tooling like Docker. At Reservoir Group he led projects end-to-end, managed teams and code-signing workflows, and continues to support midstream operations at Kingston Midstream. An active contributor to AWS IDE toolkits, he has implemented telemetry and UX improvements for CodeWhisperer integrations, showing a pragmatic interest in developer tooling and product analytics. Based in Calgary with a BSc in Computer Science, he pairs domain expertise in pressure/temperature instrumentation with a knack for translating firmware constraints into polished software experiences.
4 years of coding experience
12 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science at University of Calgary
Github Skills (14)
javas10
typescript10
typescripts10
vscode-extension10
telemetry10
java10
typescript-types10
aws9
amazon9
kotlin9
javascript8
jsx5
aws-lambda5
react4
Programming languages (3)
Github contributions (5)
aws/aws-toolkit-jetbrains
Jul 2022 - Jan 2023
AWS Toolkit for JetBrains - a plugin for interacting with AWS from JetBrains IDEs
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:712 reviews, 32 commits, 369 PRs in 5 months
Contributions summary:Will primarily worked on the AWS Toolkit for JetBrains plugin, specifically focusing on implementing and improving the CodeWhisperer functionality. This includes adding percentage code completion, enhancing the code coverage tracker, and integrating UX improvements like reference URLs. Furthermore, the user addressed issues related to auto-suggestion activation and connection handling within the plugin. The commits also included improvements to the CodeWhisperer tool window interface.
aws-lambdajetbrains-idesjetbrainssamaws
aws/aws-toolkit-vscode
Aug 2022 - Sep 2022
Amazon Q, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources
Role in this project:Back-end Developer
Back-end DeveloperContributions:515 reviews, 8 commits, 200 PRs in 1 month
Contributions summary:Will focused on adding telemetry to track user behavior within the CodeWhisperer VS Code extension. They implemented telemetry events for user interactions like toggling auto-suggestions. The changes involved modifying existing command files and test files to emit the telemetry data, focusing on tracking the usage of CodeWhisperer features. They also made refactors to code constants.
aws-lambdaserverlessaws-resourcesawsecs-exec
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