Hi, my name is

Dhruv Bindra.

I create innovations that enhance the world.

A passionate software developer, I’m dedicated to utilizing the latest software technologies to craft applications that not only look sleek but also provide outstanding user experiences and reliable performance.

About Me

I am pursuing Masters of Science in Computer Science at Arizona State University.

I am a passionate software developer from india. I have a background in computer science and mathematics, and I have a strong interest in technology. I am currently working part-time as a software developer at Decision Theater in Tempe, AZ.

Here are a few technologies I've been working with recently:
  • Kubernetes
  • Docker
  • Go
  • React
  • Operator-SDK
  • Amazon Web Services


Software Developer - Decision Theater - ASU
Nov 2023 - present

Working on deploy and release pipelines for multiple projects at Decision Theater.

  • Drove and automated CI/CD deployments for seven projects on-premises and on the cloud by leveraging GitHub actions and AWS Kubernetes clusters, saving time needed for deployments by 70%.
  • Developed an efficient multi-container web application using Docker to handle React front-end, Python backend and Postgres database calls and reduced app failures by 60%.
  • Managing multiple production and development servers from scratch to host the applications.
Back End Developer - IBM
Jan 2023 - Jul 2023

Continued the work from Red Hat to build a Managed Service that can provide storage for applications running in a containerized environment using OpenShift Data Foundation and Ceph.

  • Utilized IBM Satellite technology to reduce the price of the service by 40%.
  • Created multiple Terraform scripts to setup the infrastructure.
  • Architected Managed Service to support deployment on multiple cloud infrastructure.
  • Lead the development of Kubernetes Operator that can manage the lifecycle of Openshift Data Foundation which is used to provide storage in containerized environment.
Software Engineer - Red Hat
Jan 2021 - Dec 2022

I was working as a software engineer at Red Hat.

  • Built an OpenShift/Kubernetes Operator for Red Hat OpenShift Data Foundation - Managed Service[ODF-MS] using Operator Lifecycle Manager; this eliminated the need for clients to maintain the cloud storage admins.
  • Deploying 7+ containerized applications per day on Kubernetes/OpenShift to develop the ODF-MS while gaining extensive hands on experience with Docker and Kubernetes.
  • Enhanced ODF-MS to deploy the specific type of storage cluster as per the client use-case resulting in 35% cost reduction of the hybrid-cloud infrastructure for them.
  • Created Bash Scripts to automate multi-platform cluster deployment and installation of ODF-MS kubernetes operator on it to reduce the deployment time by 30% and eliminate the human error while deployment.
  • Configured the Continuous Integration pipeline using Continuous Productization as a Service pipeline and GitHub actions to deliver the ODF-MS service; enabling weekly releases instead of monthly releases.
  • Built a dashboard for the Site Reliability Engineering team to monitor the storage component in the hybrid cloud called OpenShift Data Foundation - Managed Service in real-time using Go and Prometheus.
  • Configured PagerDuty for OpenShift Data Foundation - Managed Service to enable the Site Reliability Engineering team to receive alerts if the service went down using Go and Alertmanager.
Back End Intern - Global Discovery Academy
Feb 2020 - Apr 2021

Developed Life Mein Marks Project that aims to help children cure their traumatic memory and become successful in life.

  • Built a dozen of Random Forest, Text Mining and Deep learning models towards advanced Psychology project around children. The models helped understanding the mind of the child curing any traumatic memory, helping them with increased attention span, high degree of compassion and ability to make friends.
  • Worked closely with clinical psychologist and counsellors understanding powerful predictors of future self in the brain formation process a child. Built variety of survey data for child, student, parents, teachers, medical counsellors.
  • Involved from the onset in Relational Database design in MySQL, Attribute selection, Data curing, Model selection, Testing the models and visualization.


2023 - 2025
Master of Science in Computer Science
Arizona State University
GPA: 3.78 out of 4.0
2017 - 2021
Bachelor of Engineering in Computer Science and Engineering
PES Institure of Technology
GPA: 8.33 out of 10.0


Movie Recommendation System
Python Pandas Numpy Scikit-learn
Movie Recommendation System
Architected collaborative recommender system using cosine similarity algorithm.
Basic Image Classification
TensorFlow Keras
Basic Image Classification
Trained a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy with TensorFlow.
Sentiment Analysis Web App using Azure Cognitive Services
Python Azure cognitive services Flask
Sentiment Analysis Web App using Azure Cognitive Services
A web appiication that gives you the sentimental score of a particular text that you add. Positive, negative and neutral Sentiment scores are displayed.


Get in Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!