Kshitij Mathur
Lead Software Engineer at Capital One
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolKshitij Mathur is a Lead Software Engineer based in Bengaluru with 8 years of experience building scalable ML-infused systems and data pipelines across retail and enterprise domains. Trained in mechanical engineering and physics at BITS Pilani, he combines strong analytical foundations with hands-on software and ML engineering—transitioning from mechanical/physics roots into production ML. He has driven architecture and performance improvements at Blue Yonder (including Dask-based parallelization for 500M daily records, ingestion redesigns, and CI/CD migrations) and now leads engineering efforts at Capital One. Kshitij excels at bridging product and engineering, owning design-level decisions, stakeholder communication, and hiring, having conducted 100+ interviews across data and software roles. He’s pragmatic about operationalizing ML—implementing pre-caching, clustering, and intra-day features to boost prediction quality and API responsiveness. Beyond code, he has a track record of improving team efficiency and embedding ML into user-facing workflows for practical business impact.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMatriculation, Physics, Chemistry and Maths, 84, Matriculation, Physics, Chemistry and Maths, 84 at Vivekanand SchoolMatriculation, Student, 9.6, Matriculation, Student, 9.6 at Apeejay School Noida
English
Stackoverflow
21reputation
989reached
3answers
0questions
Github Skills (45)
python10
data-science10
scikit10
statistics10
machine-learning10
scikit-learn10
data-analysis10
pydata8
pytorch7
tuning-parameters7
dask7
pandas7
deep-learning7
parquet7
parallel-computing6
Programming languages (3)
Github contributions (5)
Kshitij68/KnowledgeBank
Nov 2018 - Nov 2022
Repository with notes on variety of ML talks
Contributions:2 PRs, 20 pushes, 2 branches in 4 years
notespythondata-sciencedeep-learningneural-networks
Kshitij68/scikit-learn
Sep 2022 - May 2023
scikit-learn: machine learning in Python
Contributions:41 pushes, 7 branches in 8 months
pythondata-sciencelearn-machine-learningneural-networksmachine-learning
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