DevOps Engineer 2

• Jan 2023 - Present

Pioneered DevOps adoption, automating infrastructure with Terraform and streamlining deployments on GitHub. Optimized large-scale Kubernetes cluster creation on AWS, reducing build times by 80% with Terraform and GitHub Actions.Accelerated release cycles, delivering new features in hours instead of days.Introduced ArgoCD for faster and consistent deployments across diverse clusters.Managed infrastructure and deployment for financial institutions and the Department of DefenceOn-call hero with PagerDuty, maintaining 24/7 infrastructure reliability. Show less

DevOps Engineer

• Jun 2021 - Jan 2023

Software Engineer Intern

• Sep 2020 - Dec 2020

• Designed the Kubernetes cluster architecture for inference module deployment handling 500,000 images a day and achieving sub-second inference times • Optimized system performance implementing custom metrics for autoscaling resulting in 40% lesser resource usage • Scripted configuration files making deployment cloud provider independent and on-prem deployable • Designed the Kubernetes cluster architecture for inference module deployment handling 500,000 images a day and achieving sub-second inference times • Optimized system performance implementing custom metrics for autoscaling resulting in 40% lesser resource usage • Scripted configuration files making deployment cloud provider independent and on-prem deployable

Machine Learning Intern

• Jun 2018 - Nov 2018

•Built a road sign recognition model for a self-driving car. •Remodeled an image data-set containing 100,000 images of road signs captured from the overhead board and roadside polls by a car driving on highways. •Wrote a python script to parse a JSON dictionary containing the coordinates of actual signs in the image and extract them into another dataset. •Setup a CUDA environment with Python and TensorFlow. •Designed modeled and built a convolutional neural network for object recognition. •Trained the model on the dataset and achieved real-time road sign detection with an accuracy of 78% Show less

Coder

• Jul 2017 - Aug 2018

•Lead a team of 13 interdisciplinary engineering students to build a robot for competing in the National ABU Robocon competition. •Assigned tasks, oversaw progress and provided valuable feedback to the students. •Designed and implemented the logic to drive and automate the robot controlled by Arduino using C. •Our college robot cleared the first 3 rounds to compete on a national level. •Lead a team of 13 interdisciplinary engineering students to build a robot for competing in the National ABU Robocon competition. •Assigned tasks, oversaw progress and provided valuable feedback to the students. •Designed and implemented the logic to drive and automate the robot controlled by Arduino using C. •Our college robot cleared the first 3 rounds to compete on a national level.