Philip Kaelbling
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPhilip Kaelbling is a software engineer and aspiring academic with six years of experience building high-performance full-stack systems and research-grade tooling. He has driven impactful production work—rearchitecting Chewy’s site to vastly improve Core Web Vitals and authoring a bundle-recommendation service that contributed $1.2M in monthly revenue—while also founding and implementing Codon-Pandas to accelerate large-data processing up to 10x. Comfortable bridging theory and practice, he has published research from an NSF REU in computational learning theory and contributed to dependently-typed language tooling during undergraduate research. Philip mentors junior engineers, writes comprehensive test suites for confidence at scale, and excels at turning complex academic concepts into pragmatic software. Based in New York and pursuing an MS in Computer Science at Columbia, he combines rigorous formal thinking with hands-on product engineering. An under-the-radar strength is his track record of optimizing both developer experience and runtime performance across research and commercial contexts.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Physics, Bachelor of Arts - BA, Computer Science, Physics at Wesleyan UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University
Github Skills (9)
python9
high-performance9
overhead9
extensible9
gpu-programming9
compiler8
llvm8
jit7
numpy7
Programming languages (1)
Github contributions (5)
pakaelbling/naive-bayesian-classification
Apr 2020 - Apr 2020
Contributions:9 pushes, 1 branch in 1 day
pakaelbling/swingtime
Dec 2021 - Dec 2021
Contributions:3 pushes, 1 branch in 1 day
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