Hi, I'm Rutuja

Full Stack Web Developer

I find pleasure in working on different frontend development assignments and have a keen interest in acquiring knowledge about the latest technologies. I have hobbies such as creating art through drawing and various other mediums.

Contact Me

About Me

Introduction

Currently pursuing MS in Computer Engineering at Stony Brook University. I have gained experience working on various web development projects during my tenure at TATA Consultancy Services. My goal is to become a proficient and accomplished professional in the field of Computer Science by leveraging my technical knowledge and skills to achieve both personal and professional growth.

Skills

Technical Skills

Frontend Developer

2 years

HTML

90%

CSS

80%

JavaScript

75%

TypeScript

80%

Angular v10

85%

React.js

75%

Figma

75%

Backend Developer

2 years

Java

90%

Node.js

75%

Firebase

85%

Python

80%

C#

75%

C/C++

70%

Unity

80%

Qualifications

My Journey

Education

Computer Engineering

Stony Brook University
Aug 2022

Electronics and Telecommunication
Engineering

Savitribai Phule Pune University
Aug 2017

Work

Frontend Developer

TATA Consultancy Services
Aug 2020 - July 2022

Software Test Engineer Intern

Zensar Technologies
Jun 2019 - Aug 2019

Projects

Projects I've built

Chat Web
Application

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React.js, Firebase

Chatify

  • Developed and designed a chat application using React.js and Firebase.

  • App allows user to have real-time chat with message history and notifications and user profile management with a responsive design.

  • Implementing a secure user authentication system.

Game Development

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Unity, C#, Virtual Reality

Rise Of The Undead 3D Game

  • Created game mechanics where the player must scavenge for resources, craft weapons, and fend off zombie attacks to survive.

  • Developed realistic zombie AI and environmental effects, such as day-night cycle, to create an immersive experience.

Object Detection Using Convolutional Neural Networks

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Computer Vision, Python, OpenCV

Object Detection Using Convolutional Neural Networks

  • Implemented a novel CNN architecture using a combination of convolutional and pooling layers, with ReLU activation and batch normalization.

  • Achieved an accuracy of 95% in classifying images using the model, outperforming existing models in the literature.

Contact Me

Get in touch

Call Me

934-221-1304

Email

rutujazende4545@gmail.com

Location

Stony Brook, NY