About Vikyath
Education
I am pursuing my M.S. in Computer Science with a concentration in Artificial Intelligence from the University of Southern California. Graduating in May 2026. During my studies, I developed a strong foundation in programming languages such as Python, Java, and C++. I also gained experience in software development methodologies and data structures. My capstone and concentration classes include Machine Learning, Artificial Intelligence, Web Applications, and Natural Language Processing.
Work Experience
I worked as a software development intern at Radical AI. I was working on a variety of projects focusing on cutting-edge topics like Reinforcement Learning and Generative Artificial Intelligence, leading to a significant enhancement of my technical skill set in Python, SQL, and Firebase.
Technical Skills
My technical skills include proficiency in programming languages such as Java, Python, and C/C++. I have worked with web development frameworks such as React and Angular. I am also knowledgeable in database management systems such as MySQL and MongoDB. I have experience in QA testing using tools such as Selenium in various projects.
Relevant Coursework
- CSE 30: Programming Abstractions (Python)
- CSE 40: Introduction to Artificial Intelligence
- CSE 101: Introduction to Data Structures and Algorithms (C/C++)
- CSE 103: Computational Models
- CSE 114A: Foundations of Programming Languages (Haskell)
- CSE 120: Computer Architecture
- CSE 182: Introduction to Database Management Systems (SQL)
- CSE 185: Technical Writing and Communication in CSE
- ECE 30: Engineering Principles of Electronics
- STAT 131: Introduction to Probability Theory
- CSE 102: Introduction to Analysis of Algorithms
- CSE 130: Principles of Computer Systems Design
- CSE 142: Machine Learning and Data Mining
- CSE 183: Web Applications
- CSE 143: Natural Language Processing
Projects
AVAT
Landscape Change Detection
Cloudy Spotify
Autonomous Vehicle Accident Tracking is a project that scrapes and extracts data from the California DMV website. It uses Python and SQL to calculate the frequency of autonomous vehicle accidents in 2023 and filters the results by company. I used Slenium to automate the testing from the source page in HTML.
Cloudy Spotify
Landscape Change Detection
Cloudy Spotify
Built a web app that combines real-time weather data with Spotify's music recommendations. Users input their location, and the app suggests playlists or songs that match the current weather, enhancing their music experience. Technical skills include HTML, CSS, JavaScript, Python (Flask), and API integration.
Landscape Change Detection
Landscape Change Detection
Landscape Change Detection
This project aims to assess landscape changes around various lakes in California over a period of approximately 5 years. Utilizing the power of Python and advanced image processing AI tools, the project focuses on detecting significant changes in the landscapes of these lakes.