Keira Lam

Berkeley, California, United States
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Summary

👤
Senior
🎓
Top School
Keira Lam is a Berkeley-based technologist and cognitive science student blending data science with entrepreneurship to drive human-centered products. She currently serves as External Vice President at SBC Strategy Consulting, and is a Product Management Intern at Cisco while also supporting IT at UC Berkeley School of Law. Her experience spans leadership and strategic roles for brands like Atlassian, adidas, Unilever, Disney, and GUESS, reflecting strong cross-disciplinary collaboration and project execution. In parallel, she contributed to the MPC-Berkeley/barc project as a backend developer, delivering data service features, API integration, UI enhancements, and even video recording capabilities. Keira pursues roles in product management, product design, UI/UX, and business analytics, grounding her technical work in empathy, creativity, and a passion for learning.
code14 years of coding experience
job1 year of employment as a software developer
bookBachelor of Arts - BA, Cognitive Science, Bachelor of Arts - BA, Cognitive Science at University of California, Berkeley
bookCertificate, Entrepreneurship and Technology, Certificate, Entrepreneurship and Technology at UC Berkeley College of Engineering
bookMinor - Data Science, Minor - Data Science at UC Berkeley College of Computing, Data Science, and Society
bookLong Beach Polytechnic High
languagesEnglish, French, Vietnamese
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Github Skills (11)

api-doc10
data-handling10
back-end10
api10
backend10
python10
back-end-development10
ros9
rest-api9
django8
django28

Programming languages (6)

JuliaC++JavaScriptJupyter NotebookPythonEmacs Lisp

Github contributions (5)

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MPC-Berkeley/barc

Jan 2016 - Aug 2016

Main branch for BARC related code
Role in this project:
userBackend Developer
Contributions:22 commits, 21 pushes, 1 branch in 6 months
Contributions summary:Keira primarily contributed to the data service backend, implementing features for experiment registration, signal handling, and data uploading. They developed scripts in Python, utilizing the `requests` library for API interactions and integrating with a data server. The user also made changes to the user interface, adding functionality to manage media links and experiment data visualization. Furthermore, they integrated video recording capabilities.
perceptionieeeautopilotroverself-driving-car
Contributions:62 commits in 1 year 7 months
wordpressphpmembers
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