RUSHABH MEHTA

Binghamton, NY ***** adwamq@r.postjobfree.com 607-***-**** linkedin github

EDUCATION

Binghamton University, State University of New York, NY Expected May 2024 Masters of Science in Computer Science

Coursework: Computer Architecture, Design Analysis and Algorithms, Programming languages, Database systems, Cloud Computing.

Mumbai University, India Jun 2017 - Jul 2021

Bachelor of Engineering in Computer Science

Coursework: Operating Systems, Computer organization and Architecture, Python Programming, Machine Learning, Analysis of Algorithms.

TECHNICAL SKILLS

Languages : Java, Python, Dart, OOPS, JAVA - CORE

Web Development : HTML, CSS, JS, JQuery, Ajax, Json, XML Framework: Hibernate, Maven, Servlet, Spring, Spring Boot, Flutter, Flask, FastApi, Reactjs,Threejs,Nodejs Database: SQL, MySQL, MongoDB, Firebase

Operating System: Windows, Linux, MacOS

Tools: Eclipse, IntelliJ IDEA, Visual Studio Code, Git, Jenkins, JIRA, Docker, Kubernetes Cloud : AWS - EC2, Lambda, DynamoDB, IAM, EBS, S3 GCP - Compute Engine, Virtual instances PROFESSIONAL EXPERIENCE

Full stack Developer Millicent Technologies, Mumbai, India [JAVA, Flutter, SpringBoot] Sep2021 – May2022

● Collaborated with a team of 4 developers to design, develop and deploy a cloud-based Full Stack CRUD based application using Java, Spring Boot, Flutter, and AWS

● Developed RESTful APIs to interact with the database and implemented microservices architecture for scalability and fault tolerance. Developed MVVM architecture for internal app data transfer and coordination

● Designed and developed front-end using Flutter and implemented responsive design using Bootstrap framework

● Utilized Git for version control and Jenkins (CI/CD) for continuous integration and deployment

● DMBCrown : Developed the project and managed UI, with Flutter widgets, data routing with PHP and native codebase Flutter Developer Freeloc IT Solutions, Mumbai, India [Flutter, HTML, CSS,JS] Sep2020 – Aug2021

● Created various Full stack applications using methods such as Flutter, Flask for Native Mobile Application and REST APIs for global clients, Used Firebase Firestore, Firebase Database, Firebase Storage for images and various features

● Cosmo Dealer : It is an Full stack CRUD based e-commerce application with product catalog, order management system, customer support integrated with Flutter and Firebase database

● eQueue : Designed the algorithm behind a Token Generate System with Flask and MVC architecture with Flutter which is now used for internal token purposes, which is used to create appointments in bulk as well as individual appointments now used for various banks and hospitals in canada. This project was created so that one can book a token from home, which will avoid long queues during COVID situations ACADEMIC PROJECTS AND PUBLICATION

HealthCare [Mongodb, Nodejs, React, Flutter, Express, AWS - EC2, S3, Lambda, DynamoDB, Chime, Textract]

● Developed a Full Stack Crud Application with Web, Android and IOS in a group of 4, which can help you find the nearby doctor for appointment. With that have use cloud technologies like EC2, lambda,DynamoDB for serverless API.

● Integrated Real-Time Video Call and Chat Room with AWS-Chime, also a e-commerce shop which will take prescription and with help of OCR it will directly add the medicines in the cart with AWS-textract.

● Integrated Mobile application with Google Fit API which will sync data from Smart watch and send HeartRate, with that we have also implemented Machine-Learning Model to predict heart failure.

● Implemented a Machine-Learning Chatbot which predicts disease with symptoms asked from users Job-Portal [Flutter, Flask, OCR, React, Agora,Python]

● Designed and Developed an OCR based solution for Government of India, enabling the list of job opportunities directly onto portal from pdfs and docx

● Refined recommending algorithms in python to match jobs seekers to relevant job openings and manage the entire job seeker lifecycle, from search to hire

● Streamlined and improved the efficiency of the job search and hiring process for the Government of Uttarakhand with the implementation of this innovative solution

Video Media Platform [HTML,CSS, JS, React.js,Three.js,Node.js, Aws-Cloud]

● Developed a video media platform similar to Netflix using the Node Js, MongoDb, JWT and Cloud technologies.

● Designed the application with microservices architecture to handle the scalability and performance needs of the platform.

● Implemented features such as user profiles, messaging, content sharing, and search functionality Price Prediction Model using Machine Learning Methods Dec 2020-May2021

● Implemented price prediction model for e-commerce application

● model is built with naive-bayes algorithm. Along with that we had implemented

● Authored and published a paper on the same in iJRASET in May 2021, Volume9, Issue V, 2321-9653