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I code solutions.

Web Developer and Machine Learning enthusiast with experience in creating responsive and engaging web designs. Passionate about combining aesthetics with functionality to deliver optimal user experiences.

I focus on clean design patterns, intuitive UI, and leveraging machine learning concepts to create innovative solutions.

</AboutMe>

I am a Master’s student in Computer Science at the University of Florida with a passion for applying technology to solve real-world problems. My academic background and professional experience have equipped me with a strong foundation in software development, data engineering, and artificial intelligence.


I enjoy working on challenging projects that require both analytical thinking and innovative solutions, and I’m always looking for ways to grow and expand my technical skills


In addition to my technical expertise, I thrive in collaborative environments where I can work closely with others to drive meaningful impact. I am particularly interested in opportunities that allow me to combine my love for technology with my passion for finance, data, and automation.


Rutwik Saraf

</Skills>

Tech Stack

  • HTML
  • CSS
  • JS
  • BOOTSTRAP
  • REACT
  • GITHUB
  • GIT
  • C++
  • FIGMA

</Projects>

Temporal Analysis of US Motor Vehicle Accident Trends

This project is focused on analyzing extensive datasets to uncover patterns and trends related to road accidents in the United States.

Pexelicon website preview image
The Byte Brigade

Enhancing the user experience to help customers select the most suitable Verizon data plan.

Aquaregia website preview image
Disease and Pest Detection in Crops using Computer Vision

Developed and integrated a deep learning module for an AI-powered agricultural robot, optimizing disease detection in cotton plants with Computer Vision.

Aquaregia website preview image
Marathi-English Code-Mixed Sentiment Analysis

Creating a database of Marathi-English code-mixed sentences from social media and performing sentiment analysis on it.

Aquaregia website preview image
AGRO.AI

Developed a React-Django web application that predicts crop production and estimates revenue based on temperature, rainfall, humidity, and soil type.

Aquaregia website preview image