Anubhav Deep
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAnubhav Deep is a quantitative researcher based in New York with eight years of engineering and research experience bridging quantitative finance, data engineering, and open-source systems. He holds an MS in Computational Finance from Carnegie Mellon and has transitioned from data engineering and quant developer roles at Shell and J.P. Morgan to a commodities-focused quant researcher role at Millennium. Technically fluent in backend and DevOps work, he has contributed substantively to Red Hat’s OpenShift storage projects—adding placement-aware operators, PV automation, GCP IPI support and unit tests—demonstrating production-grade systems thinking. He combines rigorous mathematical modeling with practical engineering, shipping reliable infrastructure and trading research code, and brings a habit of improving the world “one commit at a time” to both proprietary and open-source projects.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer and Information Sciences, General, 3.87/4.0, Bachelor of Engineering - BE, Computer and Information Sciences, General, 3.87/4.0 at The National Institute Of Engineering, MysoreMaster of Science - MS, Computational Finance, Master of Science - MS, Computational Finance at Carnegie Mellon University
Github Skills (24)
localstorage10
kubernetes10
python10
testing10
go10
openshift10
kubernetes-pods10
ansible10
ansible-galaxy10
dockers9
docker9
yaml9
aac9
infrastructure-as-code9
operator9
Programming languages (3)
Github contributions (5)
red-hat-storage/ocs-operator
May 2020 - Jun 2020
Operator for RHOCS
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:13 commits, 6 PRs, 24 comments in 21 days
Contributions summary:Anubhav primarily contributed to the OCS operator, focusing on enhancements related to placement and label selectors. They introduced features to handle OCS deployments with custom labels and node placements, and modified the system to dynamically fetch placements. They also added unit tests to validate these new features. The user refactored logic for creating CephCluster and updated CRDs and generated CSVs.
kubernetes-operatorkubernetesoperator
red-hat-storage/ocs-ci
May 2020 - Jul 2020
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:6 commits, 6 PRs, 42 comments in 2 months
Contributions summary:Anubhav primarily contributed to the development and enhancement of local storage functionalities within the OpenShift Container Storage (OCS) project. Their work involved adding and modifying functions related to local volume management, device path fetching, and Persistent Volume (PV) creation. They also worked on integrating Google Cloud Platform (GCP) IPI support. The user demonstrates experience with Python, Ansible, and interacting with OpenShift resources.
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