Kailash Yadav
Data Scientist
New Delhi, Delhi, India
Summary
👤
Senior🎓
Top SchoolKailash Yadav is a data scientist with nine years of experience specializing in AI applications for healthcare, particularly mass spectrometry imaging, metabolomics, and genomics. At Elucidata he leads end-to-end ML project delivery and PMF, having previously optimized metabolic flux pipelines to achieve a 20x speedup using Cython, Numba, and parallel processing. His background spans product work for academic labs and pharma clients, plus earlier roles building recommendation engines, forecasting systems, and numerical optimization tooling. Trained at IIT Delhi (M.Tech. in Mathematics and Computer Science), he blends strong algorithmic foundations with pragmatic engineering to move research-grade models into production. An understated strength is his knack for squeezing performance from scientific pipelines, enabling faster iteration for downstream biological discovery.
9 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
English, Hindi
Github Skills (14)
bioinformatics10
ms-data10
mass-spectrometry10
qt10
data-processing9
large-scale9
scale9
genetic5
bam4
python3
cli3
mass2
imaging1
astronomy1
Programming languages (3)
Github contributions (5)
ElucidataInc/crispor-cli
Mar 2017 - Apr 2017
CLI only part of CRISPOR Website
Contributions:40 commits, 8 PRs, 19 pushes in 14 days
cli
ElucidataInc/ElMaven
Apr 2018 - Feb 2019
LC-MS data processing tool for large-scale metabolomics experiments.
Contributions:112 commits, 17 PRs, 95 pushes in 10 months
lc-msdata-processingms-datalc-msmsc-plus-plus
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