Princiya Sequeira is a Senior Engineering Manager with 11 years of experience building and scaling high-performing engineering organizations across AI, developer tools, and open source platforms. She has led a 40+ person international org at Anaconda responsible for ~30% of company revenue, drove M$ deals through delivery excellence, and maintained CSAT above 90% while eliminating critical vulnerabilities in enterprise offerings. A hands-on front-end engineer and open source maintainer, she has contributed UX improvements to the widely noticed PyScript project, blending product-focused engineering with strategic leadership. Previously Head of Frontend at Fresenius and Open Source Manager at Zalando, she excels at turning technical chaos into clarity, aligning engineering execution with business outcomes, and mentoring engineers into Staff+ roles. Based in Berlin, she pairs candid, empathetic leadership with a passion for inclusion, developer experience, and sustainable technical craftsmanship.
11 years of coding experience
14 years of employment as a software developer
Vidyadayinee English Medium School
Mathematics and Statistics, Mathematics and Statistics at St Aloysius PU College
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at NMAMIT, Nitte
English, Hindi, Kannada, Konkani, Tulu, Marathi, German
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Role in this project:
Front-end Developer
Contributions:12 commits in 16 days
Contributions summary:Princiya primarily focused on front-end development tasks, specifically within the context of the PyScript project. Their contributions centered around updating and styling UI elements for the REPL demo and related components. They worked on refining the appearance of the play button and addressing linting issues, indicating a focus on improving user experience and code quality within the project's front-end.
Import Lightbeam data from different geographical locations to identify patterns and trends.
Contributions:8 commits, 2 PRs, 6 pushes in 5 months
geographicaltrendspatternslocationsidentify
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