Software Engineer with over 6 years of experience in building distributed infrastructure. Specialized in improving system efficiency, designing complex systems and implementing micro service architecture at scale. Led projects that reduced costs and optimized resource allocation through data-driven insights.
Work Experience
July 2019– Present Google, Senior Software Engineer, Sunnyvale, California.
Collaborated with the data science team and implemented a fitness function to improve virtual machine attainability by considering available capacity.
The above project contributed to a $100M reduction in annual costs and received a Tech Impact Award.
Collaborated with cross-functional teams to develop and execute a plan that achieved a 60% reduction in Persistent Disk stockouts.
Increased resource utilization by picking platforms that reduced stranding. { Improved disk i/o latency by ensuring optimal placement of the disk and the attached VMs
On-boarded services to new deployment framework to ease the CI/CD, turn up and monitoring. { Led the creation of a GCP project topology to optimize network communication and resource allocation across interconnected projects.
Mentored and onboarded several team members to the team.
Feb 2018– July 2019 Nutanix Inc, MTS III, San Jose, California
Worked on a microservice based edge computing platform, supported by Kubernetes and written in Go. { Built software for managing rollout life cycle for low bandwidth edge devices.
Implemented REST APIs for creating and managing digital sensor twins and data processing pipelines.
Standardized our control plane deployment by creating Helm charts to easily deploy Kubernetes manifests.
Migrated the Control Plane from Google Cloud to AWS
May–Aug 2017 Nutanix Inc, MTS Intern, San Jose, California
Created the POC for using edge computing to interact with different sensors and ran several machine learning models for image processing and object detection on the generated data.
Evaluated several severless frameworks for creating data processing pipelines.
Education
Columbia University, New York City, New York, December 2017
Masters in Computer Science GPA: 3.64/4
Coursework: Distributed Systems, Cloud and Big Data, Microservice Applications, NLP, Advanced Databases.
University of Mumbai, Mumbai, India. Bachelor of Computer Science Engineering GPA: 8.45/10
Coursework: Distributed Systems, Machine Learning, Artificial Intelligence, Operating Systems, Algorithms
Projects
InstaTranslate
Developed a service that allows users to translate videos into different languages.
Worked on processing video to overlap it with the translated audio and storing it in Azure Blob Storage.
Won the Best Microsoft Hack at HackPrinceton for the best use of Microsoft cloud services.