Computer Science student at Kathmandu University with a strong passion for Software Quality Assurance and Testing.
About Me
I'm Shreyash Poudel, a Computer Science student at Kathmandu University who is passionate about ensuring software quality and delivering seamless user experiences.
My academic journey has strengthened my skills in programming, analytical thinking, and problem-solving. Over time, I have developed a keen interest in manual and automated testing, where I enjoy identifying defects, validating functionality, and contributing to the overall reliability of software products.
I have hands-on experience working on different projects that allowed me to explore testing tools, test case design, API validation, and performance assessment. I am always learning and adapting to new technologies to enhance my knowledge in QA practices.
Beyond testing and tech exploration, I love traveling, attending music concerts, and staying updated with the latest innovations in the tech world.
Skills
QA & Testing
Programming Languages
Tools & Frameworks
Soft Skills
Resume
Download ResumeQuality Assurance Trainee
Webpoint Solutions, LLC (On-Site)
QA and Testing Intern
Flowzi Pty Ltd. - Australia (Remote)
- Performed functional and automated testing of web applications using Playwright
- Executed API testing to validate backend functionality and data integrity
- Developed and maintained detailed test cases, scripts, and QA documentation
- Collaborated with cross-functional and remote teams for bug resolution
BSc. Computer Science
Kathmandu University, Dhulikhel
+2 in Science (Computer)
United Academy, Lalitpur
SEE
St. Xavier School, Birtamod, Jhapa
TikhoFormer: A Two-Stage Blur Classification and Transformer-Based Deblurring Framework
Mukul Aryal, Bigya V. Dhungana, Suyog Ghimire, Shreyash Poudel
Presented at: National Conference on Computer Innovations (NCCI 2025), Kathmandu University
- Designed a novel two-stage framework combining feature-based classifier with deblurring networks
- Achieved state-of-the-art Structural Similarity Index (SSIM) of 0.982
A Computationally Efficient Method for Road Segmentation and Statistics-Based Classification on Low-Power Devices
Mukul Aryal, Bigya V. Dhungana, Suyog Ghimire, Shreyash Poudel, Sudan Jha
Presented at: 2nd International Conference on Computational Technologies and Electronics (ICCTE 2025), University of North Bengal
- Developed a complete Computer Vision pipeline for road segmentation and classification
- Achieved IoU of 0.7 for segmentation and Accuracy of 0.75 for classification
All Nepal IT Cup 2024
Logistics Lead
KU Hackfest 2024
Operations and IR Team Member
IT Meet 2024
Volunteer Contributor
IT Meet 2022
Gaming Volunteer
Projects
Fittosophy is an advanced fitness companion application designed to offer personalized workout routines, fitness progress tracking, and promote healthy lifestyle habits. The app features an intuitive and visually appealing user interface designed to enhance efficiency and ease of use.
TaskSphere is a comprehensive task management application designed to help users organize their tasks, set priorities, and track progress efficiently.
Tixify is an innovative ticketing platform designed to revolutionize the way users purchase tickets for various events, including movies, concerts, sports matches, and watch-togethers. The app streamlines event discovery, booking, and seat selection with a seamless user experience.
Sadak Vision is an innovative solution that uses computer vision and deep learning to monitor road conditions, identify hazards, and improve safety for drivers and pedestrians. The system integrates a deep learning model into a Flutter-based application and features Google Maps integration for location mapping.
Hobbies & Interests
Contact Me
poudelshreyash36@gmail.com
Phone
+977 9842106757
Location
Satdobato, Lalitpur, Nepal