Grism Patel Email & Phone Number

New York, New York, US

Seattle, WA, US

• 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.

Troy, MI, US

• 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.
• 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.
• 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.
• 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, CA, US

• 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).
• 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.

Santa Clara, CA, US

• 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.

Master Degree, Engineering

Bachelor Degree, Mechanical Engineering