Gaurav Shinde

Machine |

I believe that the best software is built with the user in mind. That's why I'm passionate about creating technology that not only solves complex problems but also enhances the human experience.

About Me



I am currently pursuing my Master's degree in Computer Software Engineering at San Jose State University. My passion for programming drives me to explore various techniques for solving real-world challenges. I possess a deep interest in application development and am a certfied MERN Stack Developer. Additionally, I am a Machine Learning Enthusiast working at the intersection of Deep Learning and Cyber Physical Systems.

Experience

Jun 2023-Aug 2023

Machine Learning Engineer Intern | Tech Mahindra

-Detected and masked Personally Identifiable Information (PII) for 60,000 records using custom Transformer resulting in savings of $50,000 for a quarter.
Sep 2021-Jul 2022

Software Engineer | Insta ICT Solutions

-Implemented Redux architecture in React app achieving 15% reduction in rendering time.Streamlined file uploads resulting in improved data management process.
Dec 2020-Mar 2021

Data Glove

-Integrated PySpark and Azure Synapse to orchestrate efficient data transformations and visulaizations.Built scalable cloud infrastructure with ADF, ADLS, Databricks.

Skills

C

C

C++

C++

Python

Python

Java

Java

Django

Django

HTML

HTML

Figma

Figma

Javascript

Javascript

CSS

CSS

React

React

Docker

Docker

Next JS

Next JS

Node JS

Node JS

Bootstrap

Bootstrap

Angular

Angular

Typescript

Typescript

NoSQL

NoSQL

MongoDB

MongoDB

Tailwind

Tailwind

MySQL

MySQL

PostgreSQL

PostgreSQL

Graphql

Graphql

PHP

PHP

Go

Go

Git

Git

MaterialUI

MaterialUI

Firebase

Firebase

Azure

Azure

AWS

AWS

GCP

GCP

Projects

Autoencoder Applications

Autoencoder Applications

Implemented a Convolutional & Denoising Autoencoder, achieving a test accuracy of 90.4%, demonstrating strong performance in denoising images.Utilized this for image colorization achieving a Mean Colorization Accuracy (MCA) of 92%.

Job Portal App

Job Portal App

Developed a job portal app with MVC architecture, dynamic theming, and interactive dashboard.Facilitated user job tracking and allowed admins to efficiently manage job lifecycle.

MongoDBExpress.jsReact.jsNode.jsMaterial UI

Ridecare

Ridecare

This project tackles the issue of rider safety in ride hailing services.Various pretrained models such as BERT,RoBERTA,XLM,XLNet were used.It also incolved using Perspective API & Twilio.

Education

Aug 2022-May 2024

MS | Computer Software Engineering

San Jose State University
Aug 2017-Apr 2021

BTech | Computer Science

MIT WPU

Contact me

contacts