Anirudh Maheshwari
VP, Software Engineer Strategist
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAnirudh Maheshwari is a VP-level software engineer and strategist with 11 years of experience building highly scalable infrastructure for finance and real-time quantitative systems. Based in the New York City area, he blends quantitative engineering, machine learning foundations, and cloud-native architecture to deliver production-grade investment platforms. He has driven platform and backend work at firms including PIMCO, Opendoor, and now Sixth Street, often bridging algorithmic models with resilient, low-latency deployment. Anirudh is an active open-source contributor—his work adding GKE support to Apache Libcloud highlights practical expertise integrating Kubernetes and multi-cloud APIs. A US citizen with an MS in Predictive Analytics from Northwestern and a Wharton BS in Economics, he pairs business insight with hands-on technical leadership. Outside of finance work he pursues AI interests that inform practical ML-driven system design.
10 years of coding experience
9 years of employment as a software developer
MS. in Predictive Analytics Statistics, MS. in Predictive Analytics Statistics at Northwestern UniversityBS Economics, BS Economics at The Wharton School
Github Skills (12)
libcloud10
kubernetes10
g10
cloud-computing10
python10
kubernetes-pods10
gcp10
apidoc9
api9
docker8
dockers8
apache8
Programming languages (2)
Github contributions (5)
apache/libcloud
May 2017 - Jun 2017
Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to manage different cloud resources through a unified and easy to use API.
Role in this project:
Back-end & Cloud Engineer
Back-end & Cloud EngineerContributions:32 commits, 1 PR, 6 comments in 1 month
Contributions summary:Anirudh's primary contributions focused on integrating Google Container Engine (GKE) support into the Apache Libcloud library. This included implementing a new GKE container driver, connecting to the GKE API, and defining cluster configurations. Further work involved adapting the Kubernetes integration to the GKE environment, including updates to connection classes and server configurations. The user demonstrated expertise in cloud integration by enabling the management of GKE clusters through Libcloud's unified API.
python-libraryapilibcloudpythonhides
andymaheshw/cprogramminglang
Mar 2017 - Jun 2017
Contributions:24 pushes, 1 branch in 3 months
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