Arun Kothari

👋Hi there!

I'm Arun Kothari

I am a software engineer with a passion for building scalable and reliable software. I have experience in building web applications, backend services and machine learning. I am currently studying at Arizona State University.

Recent Work

White Noises

Responsive website to help you sleep, code, or just escape!!
• Developed a responsive website using React and Tailwind CSS, featuring video playback capabilities with upload and commenting functionalities. Implemented multiple categories of white noise to aid focus and productivity.
• Designed a scalable architecture and followed Aglie Methodology with three backend services, utilizing AWS SQS for efficient inter-service communication and AWS Lambda to trigger machine learning models from Hugging Face for sentiment analysis on comments.
• Optimized video buffering using FFmpeg and dynamic buffering techniques , and integrated AWS CloudFront as a content delivery network to improve load times and reliability.
• Leveraged MongoDB, Axios, and RestAPI for database management, ensuring efficient data storage and retrieval.

Code Live

Education

Arizona State University, Tempe

M.S. in Computer Sciences

Expected Graduation: May 2025

GPA: 4.0

Amity University, Noida

B.Tech. in Computer Sciences

Graduated: May 2023

GPA: 3.4

Internships

Arizona State University

Software Developer Assistant

Current

• Collaborated with NYU students and PhD candidates to analyse oxygen atom movements during CeO2 reaction, reducing manual work by 70% using depth map technology. Employed UNet for segmentation and weights and basis for tracking.
• Led the development of an interactive website aimed at engaging high school students in atomic research and nano-particle studies, fostering curiosity and learning in emerging scientific fields. Leveraging React.js and p5.js for dynamic content and engaging user interfaces.
• Facilitated weekly presentations, sharing project progress and findings, fostering open communication and collaboration among team members.

Travvir

Machine Learning Intern

March 2023 - April 2023

• Tested and evaluated new models and research papers to ensure the company's technology remained at the forefront of innovation, resulting in a 20% increase in efficiency through the implementation of updated technology solutions.
• Demonstrated adaptability by swiftly acquiring knowledge in point clouds and 3D reconstruction, contributing to the development of new features and achieving a significant improvement in product performance.

PythonMate

Computer Vision Engineer Intern

October 2021 - January 2022

• Developed software utilizing face-moment recognition technology to detect unfair means during online tests , resulting in a substantial 25-30% improvement in test quality. Leveraged expertise in facial recognition algorithms to enhance accuracy and reliability.

Certificates

1. A-Z Deep Learning by Super Data Science

Year: 2024Link

2. Responsive Web Design by FreeCodeCamp

Year: 2024Link

3. Computer Vision and Image Processing - Fundamentals and Applications by NPTEL

Year: 2023

4. Natural Language Processing by NPTEL

Year: 2023

5. A-Z Machine Learning by Super Data Science

Year: 2022Link

6. Generative Adversarial Networks (GANs) by Coursera

Year: 2021Link

7. Deep Learning with Pytorch: Zero to GANs by Jovian

Year: 2021Link

Publications

1. An Efficient Deep Neural Framework for Nucleus Semantic Segmentation with Enhanced UNet, Research Paper

Link

2. Ensemble Methods on NSL-KDD, Research Paper

Link

3. Image Segmentation on Human Action, Research Paper

Link

Contact

Email:
arunkothari84@gmail.com
akotha15@asu.edu

Cell:
+1 6232756812
+91 9784499993

GitHub

Made with ❤️ by Arun