Tessa Pham is a software engineer based in New York with eight years of experience building data-driven platforms and production services, currently contributing to Bloomberg’s Data Science Platform. She combines hands-on backend and DevOps skills—demonstrated by contributions to the KServe serverless ML inference project, where she implemented nuanced readiness and status propagation checks and managed release candidate documentation—with a strong foundation in NLP and computational linguistics from academic research. Her background spans asset & investment management systems, research fellowships at the NSF, and undergraduate NLP work under Prof. Dan Roth, reflecting a blend of industry and research perspectives. A bilingual-minded technologist with honors in computer science and linguistics, she also brings teaching and product research experience that sharpens her communication and user-centered design instincts. Notably, she has shipped reliability improvements in open-source ML infra, showing an attention to operational details that matters for production ML deployments.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Cross-Registration, Computer Science, Linguistics, Bachelor of Arts - BA, Cross-Registration, Computer Science, Linguistics at Haverford College
Bachelor of Arts - BA, Computer Science (Honors), Linguistics (Honors), Magna Cum Laude, Bachelor of Arts - BA, Computer Science (Honors), Linguistics (Honors), Magna Cum Laude at Bryn Mawr College
Hanoi-Amsterdam High School for the Gifted
The White Mountain School
Bachelor of Arts - BA, Cross-Registration, Computer Science, Bachelor of Arts - BA, Cross-Registration, Computer Science at University of Pennsylvania
Bachelor of Arts - BA, Cross-Registration, Computer Science, Linguistics, Bachelor of Arts - BA, Cross-Registration, Computer Science, Linguistics at Swarthmore College
French Language and Literature, French Language and Literature at Institut d'Avignon
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:
Backend & DevOps Engineer
Contributions:18 reviews, 7 PRs, 24 comments in 1 year 2 months
Contributions summary:Tessa contributed to the KServe project by addressing Ingress readiness conditions, specifically adding checks for False and Unknown states. They implemented ServiceReady status conditions, including adding new status conditions for service readiness of each component and modifying the propagation in the controller. Furthermore, the user published a release candidate and documented status conditions for RoutesReady and LatestDeploymentReady, demonstrating an understanding of release management and documentation.
Standardized Serverless ML Inference Platform on Kubernetes
Contributions:52 pushes, 12 branches in 11 months
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