Basanth B
Senior Staff Software Engineer at Intuit
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolBasanth B is a Senior Staff Software Engineer with 9 years of experience driving full-stack and systems work at Intuit from early engineering levels to senior staff. He combines strong foundations in data structures and algorithms with applied expertise across machine learning, deep learning, computer vision, and web development. At Intuit he’s advanced platform features and user-facing capabilities, and as an open-source contributor he enhanced Argo Workflows with enum parameter support, SSO namespace controls, and artifact garbage-collection finalizers—demonstrating fluency in cloud-native Kubernetes workflows. Early research-style work includes combining neural networks with genetic algorithms to teach agents to play classic games, reflecting a penchant for experimentation and algorithmic creativity. Based in Bengaluru, he brings both hands-on implementation skills and architectural thinking to build reliable, user-focused systems.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Sri Jayachamarajendra College of Engg., MYSOREKendriya Vidyalaya Sangathan
English, Hindi, Kannada
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
kubernetes10
back-end-development10
workflow-engine10
ui-design10
cnc10
uid10
go10
front-end-development10
kubernetes-pods10
cloud-native10
api-design9
apim9
api9
react9
typescripts8
Programming languages (6)
Github contributions (5)
argoproj/argo-workflows
Oct 2020 - May 2022
Workflow Engine for Kubernetes
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:62 reviews, 8 commits, 19 PRs in 1 year 6 months
Contributions summary:Basanth contributed to both the backend and frontend aspects of the Argo Workflows project. They added enum support to parameters within the workflow controller and UI, enhancing the user experience. They also added functionality to the UI for parameter value enum support and implemented SSO control via individual namespaces, indicating a strong understanding of the project's architecture and user interface design. Furthermore, they added a finalizer for artifact garbage collection and added capability to choose parameters in suspend node.
workflow-automationdagworkflow-enginemachine-learninghpa
basanthjenuhb/argo-workflows
Oct 2021 - Sep 2023
Workflow engine for Kubernetes
Contributions:79 pushes, 7 branches in 1 year 11 months
workflow-enginekubernetesworkflow
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