Tatiana Cramer is a Principal ML Engineer with 7–8 years of hands-on experience building data and ML infrastructure, time-series systems, defect detection, model predictive control, and speech technologies across startups and major tech firms. She has led and scaled teams from zero to production at Conundrum AI and now Microsoft, bringing a blend of practical engineering and people-focused communication. Her long tenure at Google includes speech synthesis and AI work, reflecting deep expertise in applied ML for real-world products. Tatiana is also comfortable contributing to critical open-source codebases—her work on TLS certificate auditing tests demonstrates attention to correctness and test-driven development. Colocated in England and trained at Lomonosov MSU, she pairs systems-level thinking with a knack for setting reproducible processes that survive rapid growth.
Contributions:75 commits, 167 PRs, 76 pushes in 1 year 1 month
Contributions summary:Tatiana implemented diff-checks for a pair of log lists within the context of auditing TLS certificates. The primary focus of the commit involves code changes within the `loglist` package, specifically introducing new test cases. These checks likely aim to ensure the consistency or correctness of the log lists and their associated operators. The file `diff_check_test.go` has been modified, indicating a focus on test-driven development to validate the functionality of the diff-checking logic.
Contributions:253 pushes, 163 branches in 1 year 2 months
golangletsencryptsslja3certificate-transparency
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