A user-friendly navigation system specifically designed for TTU campus, helping students locate essential services and navigate efficiently.
Worked in a team to develop a comprehensive platform designed to help job applicants to manage their job applications, track progress, and prepare for interviews effectively.
Worked as a FrontEnd Developer to contribute to the AlignWithMe open source repository. The platform provides users with a quiz that helps them determine their political alignment respective to candidates. Enhancements include fixing overflow errors, implementing robust form validation, and optimizing the interface for mobile viewing. Leveraged technologies such as Flutter and Spring Boot to streamline backend processes and improve performance.
View on GitHubAn American Sign Language alphabet detection model made with using a Convolutional Neural Network (CNN) using dataset at Huggingface. The CNN consists of two 1D convolutional layers.
Python-based application that estimates the concrete strength based on user inputs. Users can enter parameters like cement, water, and aggregate types to receive precise strength predictions along with uncertainty assessments. With Use of Pandas, Numpy, Matplotlib, utilized Multiple Linear Regression, Exponential Regression, and Polynomial Regression models to analyze data from a concrete compressive strength database.
View on GitHubAn Information Delivery Robot for Texas Tech that could serve as an informative device on location information and general questions. Designed the GUI and programmed the robot’s Raspberry Pi using Python to give weather information using a weather API.
View on GitHubHTML
CSS
JavaScript
Flutter
React
Java
Python
Spring Boot
Git
MongoDB
C
Texas Tech University
May 2024 - Present
Successfully diagnosed and resolved various technical issues, enhancing overall operational
efficiency.
Gained hands-on experience with system reimaging, computer setup, and network
troubleshooting.
Delivered exceptional support and training to end-users, improving their technical
proficiency and satisfaction.