Hi! My name is
Ujwal Joshi,
a Passionate Developer.

About Me

Hey there! I'm Ujwal Joshi, an alumnus of the University of Houston, with a B.S. in Computer Science and a minor in Mathematics. I'm passionate about all things tech-related, with a keen interest in software engineering, data science, and web development. I am excited to contribute to and experience more technological innovations in my time and aspire to make a impact in the field.

Experience

Paycom

Dec. 2024 - Present

Software Developer

I am currently working as a Software Developer for Paycom's Expense Management module. I built and led core Expense Management features used by 37,000+ organizations, including OCR-based receipt parsing and bank transaction integrations, while improving system performance and workflow optimizations.

Boeing

Jun. 2024 - Aug. 2024

Digital Aviation Solutions - Development Intern

I worked with a 10-member Software and DevOps team to improve navigation data workflows and mission-critical notification systems. I automated data analysis and integrated validation into the CI/CD pipeline to reduce manual effort, and accelerate processing time.

CougarCS

Aug. 2023 - Aug. 2024

Computer Science Tutor

Guided over 11 students weekly on coding assignments, projects, and lab exercises, while also conducting one-on-one and group tutoring sessions in Computer Science courses such as Data Structures. Collaborated with a team of 30 tutors to create customized lesson plans, resulting in a 12% average increase in student exam scores.

Featured Projects

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CatchUp

A gamified journaling app built with SwiftUI promotes mental well-being through daily gratitude and reflection. It features a Figma-designed city-building interface and integrates Firebase and Apple CoreML for secure user management, data storage, and sentiment-based personalization.

December 2024

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Chat AIr

Mobile chatbot powered by AI to find cheap flights. First place winner at the CodeRED: Genisis Hackathon PROS track.

February 2024

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Traffic Trends ML Model

Utilized machine learning and statistical analysis to conduct a comprehensive analysis of intersate traffic and identify key factors pivotal to predicting traffic volume.

December 2023

Contact Me