Manish wadhwani
Staff Software Engineer at Cohesity
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolManish Wadhwani is a Staff Software Engineer with over a decade of experience building distributed systems, platform infrastructure, web applications, and ML-driven pipelines across companies like Microsoft, EY, IBM, and Cohesity. He blends strong systems design and cloud expertise (Java, .NET, Node.js, Python, Kubernetes, Azure) with hands-on machine learning and data engineering experience, having improved automated answer coverage for Bing and led a secure-by-default Azure SDN perimeter platform. A Georgia Tech MS in Computing Systems and an NIT Surat B.Tech underpin his engineering depth and attention to scalable architectures. Known for pragmatic solutions, he has architected multi-tenant services, centralized access-management and notification platforms, and operational tooling that meaningfully reduced complexity and risk. Based in Bengaluru, he pairs large-scale production experience with a knack for making security and reliability easier for engineering teams to adopt.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at National Institute of Technology SuratHSC Mathematics and Computer Science, HSC Mathematics and Computer Science at L. P. SAVANI INSTITUTES PRIVATE LIMITED
Stackoverflow
429reputation
23kreached
17answers
1question
Github Skills (127)
swagger10
microsoft-azure10
rest-api10
openapi10
mongoose10
api10
rest10
golang10
azure10
database10
in-memory10
mean-stack10
rule10
microsoft10
editor9
Programming languages (10)
Github contributions (5)
manishrw/system-config
Feb 2016 - Mar 2025
Contributions:2 PRs, 8 pushes, 3 branches in 9 years 2 months
manishrw/fromscratchtoml
Oct 2019 - Apr 2022
The machine learning library you really understand.
Contributions:5 PRs, 4 pushes, 6 branches in 2 years 6 months
pythondata-sciencedeep-learningneural-networksmachine-learning
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