• Currently working as Software Engineer at Oscar Health. • Worked as Software Engineer at Algo.ai, Amazon • Graduated with a Masters's from Santa Clara University.
Experience
2022 — Now
Boston, MA
Optimized Postgres data models and indexing strategies for production systems storing 17TB+ of clinical data, improving query performance and reducing API latency.
2021 — 2022
Seattle, Washington, United States
Migrating the whole application to a different internal testing stack to run our integration tests, without impacting the existing test cases and without minimizing test coverage.
Improved the stack by codifying the AWS Resources using CloudFormation and adding testing around those resources to ensure it's working.
Increasing unload job speed by 40 - 45% which reduced the load on the Redshift cluster by re-designing and implementing the logic by performing parallel on.
Enhanced new feature in JavaScript browser library for better tracking activity and more details about errors information. Also enabled logging to AWS CloudFront to get better visibility and monitoring.
Designed and Improved the ETL processing times from 24 hours to 6 hours.
Tech I worked on: Python, Nodejs, AWS, Pyspark.
2018 — 2021
Michigan, United States
Build concurrent and a synchronized micro-services using node.js and AWS SDK to support the infrastructure, development, and write stream metadata to MongoDB document which reduced the time of operation from 4 minutes to 7 seconds.
Design an end-to-end prediction application and implemented using PySpark MLlib Regression analysis in the Algo interface which was trained around 1.1 million records. Also, optimize PySpark jobs and SQL queries for better performance and stability to handle scaling of the system which helps in new features and processing more data.
Designed and execute interacting channels between two internal systems using Python and REST API to expand and enhance the existing platforms. Object-Oriented Programming is used to make the code reusable, with an average of 89% test coverage in Pytest.
Build Hashicorp Vault and Hashicorp Consul Functional Design and Software Architecture for our Algo ecosystem.
Reduced developer hours by 25 every week through Automated testing and deployment using Jenkins CI/CD.
Tech I worked on: Python, Nodejs, AWS, Redshift, MongoDb.
Santa Clara
Building a Convolution Neural Network (Deep Learning/ Machine Learning) which classifies and predicts, if the given image is of Melanoma Cancer, skin rash or any other skin cancer, using Python (TensorFlow and Keras) analyzing 45GB of images and metadata.
Achieved an accuracy of 91%, by designing an architecture that has layers of convolution, max pooling, using Linear Rectifier (ReLu) activations, dropout regularization technique and the optimizer used is Adam in Linux.
Reduced the running time of the algorithm by 85.7% after removing non-lesion part of the image (extra skin pixels) using OpenCV. Programmed an automated script which downloads the images using REST API and divides the images into melanoma, other cancer, and nevus.
Santa Clara, California
Designed a website with the team for an organization with MEAN stack (MongoDB, Express JS,
Angular 2, NodeJS).
Configured and deployed in Amazon Web Service, Git and hosted it on GoDaddy domain and OAuth configured for Authorization. Link: http://collaborate4africa.org/
Created automation testing scripts using Protractor to automate end to end testing for all modules.
Education
Santa Clara University
Master degree
IFHE UNIVERSITY