Mikayla Toffler is a software engineer based in New York with seven years of hands-on experience building backend systems and developer-facing integrations. After discovering computer science while studying Cognitive and Brain Sciences at Tufts, she sharpened her full‑stack skills through Grace Hopper Fullstack Academy and early teaching roles with Girls Who Code and Kode With Klossy. At Datadog she progressed from Solutions Engineer roles into a Software Engineer position, contributing to observability tooling and improving internal code organization. Her open-source work includes significant contributions to Datadog’s dd-trace-py APM client, where she refactored Redis/AioRedis integrations and added new AioRedis support with tests. Mikayla combines strong technical craftsmanship with a knack for translating complex systems to nontechnical audiences, a skill honed through instructor and customer-facing engineering roles. She’s motivated by building pragmatic, creative solutions that make real-world systems more observable and reliable.
7 years of coding experience
5 years of employment as a software developer
Fullstack Web Development, Fullstack Web Development at The Grace Hopper Program at Fullstack Academy
Bachelor's Degree, Cognitive and Brain Sciences & Computer Science, Bachelor's Degree, Cognitive and Brain Sciences & Computer Science at Tufts University
Contributions:5 reviews, 8 commits, 36 pushes in 1 month
Contributions summary:Mikayla made significant contributions to the Datadog Python APM client, primarily focusing on integrations with various technologies. Their work involved refactoring and abstracting code to reduce duplication, specifically in the Redis and AioRedis integrations. They also added a new integration for AioRedis, including the necessary wrapper functions and tests. Furthermore, the user updated the module to internalize and deprecate `ddtrace/utils`, enhancing internal code organization.
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