Connor Adams is a software engineer with 11 years of experience building high-performance systems and ML-enabled tooling, currently a Member of Technical Staff at Modal after a SWE role at Citadel. He has a strong background in observability and back-end engineering, contributing notable OpenTelemetry Python instrumentation for databases and frameworks during internships at Google and elsewhere. Comfortable across systems, robotics, and trading domains, he’s shipped optimized neural net kernels and low-level integrations that bridge research and production. A Waterloo CS graduate based in New York, he combines hands-on implementation skills with a curiosity for robotics and quantitative trading that drives pragmatic, performance-focused solutions.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Computer Science, Honours Co-op, Computer Science, Bachelor of Computer Science, Honours Co-op, Computer Science at University of Waterloo
Contributions:10 commits, 14 PRs, 131 comments in 2 months
Contributions summary:Connor primarily contributed to enhancing the OpenTelemetry Python instrumentation library. They implemented instrumentation for various database libraries, including PostgreSQL and SQLite3, enabling the tracing of database interactions. They also refactored and added utilities to the auto-instrumentation module. In addition, the user added instrumentation for the Pyramid framework and made changes to gRPC client interceptor and metrics.
Contributions:88 commits, 28 PRs, 66 pushes in 1 year 1 month
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