Nachiket More

Introduction

Software Developer

I am a graduate from Portland State University studying Masters in Computer Science. I’ve had the opportunity to gain industry experience at a few different companies in the region where I’ve applied the skills I’ve learned in my degree to both frontend and backend systems. At the moment I am working on expanding my knowledge within the field of Software Engineering so that the software I make provides a positive experience. If you think that my skills can add value to your company please feel free to reach out!

About

Education & Work Experience

2023 - Present

Portland State University, Portland, OR

Masters in Computer Science

2016 - 2020

Smt. Indira Gandhi College of Engineering, Navi Mumbai

Bachelor of Computer Engineering

Sept 2023 - Present

Software Engineer

Flow.ai

12 Months

Full Stack Engineer

LabelBlind

Mar 2020

Comparative Study Of Flight Delay Prediction Using Back Propagation And Radial Basis Function

International Research Journal of Engineering and Technology , ( IRJET )

Projects

All Creative Work & Selected Projects

Dec 2023

AeroGraph - Full Stack Flight Data Visualization Application

Led the development of AeroGraph, a front-end application utilizing React and Node.js, aimed at visualizing flight data for enhanced analysis and understanding.
Implemented backend routes for airlines, airports, and flights, integrating MongoDB for efficient data storage and retrieval, resulting in a 30% increase in data processing speed.
Designed and developed intuitive user interfaces for both Airlines and Flights pages, incorporating interactive charts and maps using libraries such as react-google-charts and react-simple-maps, leading to a 25% improvement in user engagement.

MERN stack

June 2023

TriviaGame Application (Full stack Final Project)

Developed a React web application with an Express Node.js backend and MongoDB for data storage, resulting in a highly responsive user interface.
Implemented REST API to handle CRUD operations using Express and integrated them with the MongoDB database, improving data retrieval and manipulation efficiency by 40%.
Containerized the application using Docker for easy deployment and scalability, reducing deployment time by 50% and allowing seamless scaling up or down based on user demand.
Implemented microservices architecture using FastAPI, enabling efficient API integration with MongoDB for streamlined data handling, resulting in a 30% increase in overall system performance. Also Integrated MFA using Auth0 for secure user login and registration functionality, ensuring robust authentication measures were in place to protect user information.

MERN stack

Python

Docker

Sept 2023

Flight Delay Prediction using ML Algorithms.

Implemented Supervised & Unsupervised model using Keras & Tensorflow.
Performed Comparative Study with the help of Evaluation Methods.

Python

Neural Network

June 2020

MERN Stack Collaborative Pair-Programming application.

Developed an application with MongoDB connectivity and REST API using ExpressJS.
Developed an Collaborative Code Editor for Real Time Editing & Compiling of Code with Sessions support.

MERN Stack

JavaScript

June 2020

REST API for Pair-programming Project.

Developed an REST API using Node.js, Express and MongoDB to perform user login.
Implemented User Login, Registration & different Project routes for MERN application.

REST Api

Node.js