Dhanush Kamath
Senior Applied Scientist at Target
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolDhanush Kamath is a Senior Applied Scientist based in the San Francisco Bay Area with nine years of experience building production ML and distributed systems across retail, finance, and research settings. He has driven search retrieval and ranking at Target and Wayfair, developed Bayesian attribution and media-mix optimization models, and delivered end-to-end ML platforms and real-time model serving at HSBC. Equally comfortable in backend engineering and applied science, he blends microservices, MLOps, and large-scale training pipelines to turn experimental models into reliable production features. A 4.0 MS graduate from Arizona State University with an EEE undergraduate background from NIT Surat, he brings a strong systems-first perspective to ML problems. Notably, his career spans both academic spatial/epidemiology work and high-throughput commerce systems, giving him a rare cross-domain lens on data-driven decision making.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at Arizona State UniversityBachelor of Technology, Electrical and Electronics Engineering, Bachelor of Technology, Electrical and Electronics Engineering at National Institute of Technology Surat
Stackoverflow
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0reached
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Github Skills (31)
mongoose10
javascript9
java9
open-source9
data-structures8
data-analysis8
grpc8
python8
frame8
restful8
pandas8
http8
manipulation8
data-science8
nodejs7
Programming languages (4)
Github contributions (5)
dhanushkamath/Burgernaut
Jan 2021 - Jan 2021
A message-based distributed food ordering system developed with RabbitMQ, Node.js, Express and MongoDB
Contributions:53 commits, 6 PRs, 39 pushes in 6 days
orderingnode-jsexpressfoodfood-ordering-system
dhanushkamath/PyEmotionRecognition
Apr 2017 - Dec 2017
Contributions:8 commits, 7 pushes, 1 branch in 8 months
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