Siddharth Lal
Quantitative Researcher
Bihar, India
Summary
👤
Senior🎓
Top SchoolSiddharth Lal is a quantitative researcher with eight years of practical experience building scalable, production-ready systems and algorithmic solutions, currently working at AlphaGrep after two years at Quantbox Research. A final-year Mathematics and Computing student from IIT Kharagpur and GSoC '20 alumnus (JuliaAstro), he combines rigorous numerical skills with systems engineering—evidenced by a 25% speedup in an astronomical image-processing pipeline and a ninefold performance gain from memory fixes in Kyverno scalability work. He has hands-on cloud-native experience (Kyverno, cert-manager, Kubernetes controllers) and strong software craftsmanship in Go and Julia, demonstrated across internships and open-source contributions. An avid competitive programmer (peak Codeforces 1940), he brings algorithmic thinking to research problems and a track record of turning complex technical challenges into measurable performance improvements.
8 years of coding experience
3 years of employment as a software developer
Integrated Master of Science - MS Mathematics and Computing, Integrated Master of Science - MS Mathematics and Computing at Indian Institute of Technology, KharagpurDelhi Public School
Hindi, English
Github Skills (91)
ode10
insar10
altitude10
sensitivity10
kyverno10
sensitivity-analysis10
scientific-machine-learning10
planets10
sbml10
differential-equations10
dde10
ecosystem9
orbital-mechanics9
image-analysis9
vscode-plugin9
Programming languages (7)
Github contributions (5)
siddharthlal25/Photometry.jl
Feb 2020 - Apr 2020
Contributions:108 pushes, 22 branches in 2 months
JuliaAstro/CCDReduction.jl
May 2020 - Nov 2020
A package for performing CCD data reduction.
Contributions:5 reviews, 212 commits, 51 PRs in 6 months
reductiondata-reductionpythonccd
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