Karan Anand
Computer Scientist
Summary
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RockstarKaran Anand is a computer scientist with three years of hands-on experience building back-end systems and quality assurance for open-source JavaScript/Node.js projects. At stdlib-js/stdlib he contributed efficient C implementations and benchmarks for statistical functions across probability distributions, demonstrating a blend of systems-level coding and applied math. Comfortable bridging theory and practice, he leverages a Computer Science and Math background from UBC to deliver numerically robust solutions and test suites. Colleagues value his meticulous approach to validation and performance tuning, particularly in statistical computing. Though early in his career, he shows a clear aptitude for low-level optimization within high-level ecosystems and a continued interest in probabilistic tooling.
3 years of coding experience
Github Skills (8)
statistics10
numerical-analysis10
probability-distribution10
c-programming10
stat10
distributions10
statistic10
unit-testing9
Programming languages (7)
Github contributions (5)
stdlib-js/stdlib
Dec 2024 - Apr 2025
✨ Standard library for JavaScript and Node.js. ✨
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:282 reviews, 161 PRs, 1 push in 3 months
Contributions summary:Karan contributed C implementations for various statistical functions related to different probability distributions, including functions for the mode, variance, median, probability mass function (PMF), probability density function (PDF), and log probability mass function (LogPMF). Additionally, the user was involved in creating C implementations for the moment-generating function (MGF), kurtosis, and standard deviation functions. Code changes included the creation of C benchmark files and test cases to validate the implementations.
numerical-computingmathematicsutilitiesstatisticsscience
anandkaranubc/stdlib
Dec 2024 - Apr 2025
✨ Standard library for JavaScript and Node.js. ✨
Contributions:427 pushes, 218 branches in 3 months
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