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Hello, I am

Amey

Software Engineer

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@2024 AMEY SHINDE

Software Engineer

I am skilled in multiple areas of
Software Engineering

Cross-platform Engineering

Cross-platform Engineering

Building beautiful, high-performance web projects with React.js, React Native, and the power of Next.js for the web and mobile.

Developing Frontend

Developing Frontend

Crafting responsive and dynamic web experiences with expertise in TailwindCSS, Bootstrap, jQuery, and GraphQL.

Backend Engineering

Backend Engineering

Powering robust backend solutions with increasing scalability and proficiency in Node.js, Python, Java, FastAPI, Flask, and Spring Boot.

ML-OPS Engineering

ML-OPS Engineering

Streamlining AI innovation with robust MLOps, bridging the gap between machine learning models and operational excellence.

@2024 AMEY SHINDE

Software Engineer

My Works

All

Spin To Save - Shopify Extension

Incentivize your customers to shop at your store by offering discounts. The app allows your to control the number of discounts awarded as well as control the odds of a visitor to your site getting a discount. Configure the Call to Action tab seen by the user. Developed using Node.js, MongoDB, and Shopify Polaris.

Shopify Extension, Shopify Polaris, Node.js, MongoDB.

Admin Dashboard

React Admin Dashboard - Material UI, Nivo Charts, Formik, Yup, and FullCalendar

Frontend

ConnectIn

LinkedIn Clone - React, MongoDB, Node.js

React, MongoDB, Redux, Node.js

Finatica Finance Dashboard

MERN Finance Dashboard App that has Machine Learning Predictions - MongoDB, React, Express, Node.js

Frontend

SongStop - Spotify Clone

A Song Streaming Web Application developed using ReactJS, Tailwind CSS, and Shazam API that lets you stream any song for free from 4 charts and 14 different genres.

frontend

YouTube Comments Sentiment Analysis with Apache Kafka (Confluent)

Developed an End-to-End Reactive Data Streaming Application with FastAPI, React, and Python that uses the YouTube API to fetch comments and produce messages to a topic in Confluent Kafka. The comments are consumed by the application and it runs sentiment analysis on the comments using scikit-learn and pandas.

React, Kafka, flask, Machine learning, Python

Reactive Data Streaming App with Python, Apache Kafka, KSQL, Confluent, Telegram.

Developed a real-time notification system that sends updates to a Telegram chat whenever there's a new like or comment on a specified YouTube video or playlist. Technologies Used: Python, Confluent Kafka, KSQL, YouTube API, Telegram Bot API

Confluent Kafka, Data Streaming, Python, Data Engineering

ShopiCo E-Commerce with Stripe Integration.

E-Commerce Application developed with TypeScript, Sanity, NextJS with Stripe Payments integration.

React, NextJS, Stripe

@2024 AMEY SHINDE

Software Engineer

Skills & Experiences

React.js

React.js

MongoDB

MongoDB

Docker

Docker

Redux

Redux

GraphQL

GraphQL

Java

Java

TypeScript

TypeScript

Git

Git

Pipedream

Pipedream

MLFlow

MLFlow

Python

Python

AWS

AWS

Apache Kafka

Apache Kafka

CSS

CSS

PostgreSQL

PostgreSQL

PySpark

PySpark

Databricks

Databricks

HTML

HTML

Node.js

Node.js

JavaScript

JavaScript

SQLite3

SQLite3

May 2022 - July 2022

Software Engineering Intern

CSB

Implemented a recommendation engine on the back end (python) to boost the sales of the company products by 28% using collaborative filtering on the “add to cart” component of the company website. • Scaled product utilization by 40% by enhancing product quality and developing an intuitive and engaging design using ReactJS and JavaScript working alongside the stakeholders. • Developed and implemented an automated database backup solution on AWS, ensuring data security with SHA-256 encryption.

September 2022 - Present

Software Developer

University of Texas at Arlington

Developed a React and Flask RESTful API application integrating drag-and-drop SQL tree flowcharts that convert into JSON queries, enabling precise video frame retrieval based on object attributes; incorporated Java and XML for backend processing, leading to a 30% increase in query formulation speed and a 25% improvement in video frame retrieval accuracy. • Optimized error monitoring efficiency by 60% by developing and implementing a real-time Kafka-based logging system in Python, significantly reducing manual log review time, and enabling swift identification and resolution of system errors. • Enhanced website performance by implementing a Redis cache in Flask and Python resulting in a 26% increase in the speed of the visualization software. Developed design documents for publishing.

May 2023 - August 2023

Software Development Intern

Cataboom Technologies

Developed a CRM workflow extension for HubSpot using Node.js, JavaScript, and MongoDB that enabled workflow creators in HubSpot to integrate CataBoom game URLs into emails, resulting in a 22% increase in engagement and interactions for new contacts and elevating brand awareness and conversion. • Developed and launched a gamification extension of the company for Shopify using Nodejs and React in an agile environment resulting in a 17% increase in client reach and driving $80,000 in revenue per campaign. • Refined a transformative algorithm for clients like Dell and Shell using Node.js, React, and MongoDB, achieving a 28% boost in data processing efficiency.

@2024 AMEY SHINDE

Software Engineer

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@2024 AMEY SHINDE

Software Engineer

Take a coffee & chat with me

emailameys9072@gmail.com
phone+1 (361) 263-9455

@2024 AMEY SHINDE

Software Engineer