AI Native Software Engineer Intern
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My professional journey in software engineering and research
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Developed full-stack Django and React features, automated S3 workflows, improved UI responsiveness, optimized backend queries, and enhanced live production performance.
Developed scalable SaaS modules with React, Django, and PostgreSQL, optimized APIs and UI, improved reliability, and streamlined Agile-based development.
Researched event-based computer vision using CNNs and ResNet models, improving event data representations and enabling real-time structural failure prediction systems.
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Serving as ACM Create Member, developing MavsPrep, a web platform that provides UTA students with organized study materials and academic resources.
Researched deep learning-based human pose estimation using CNNs, GCNs, and Transformers; published in IEEE Access; improved model accuracy and accessibility.
Researched ASL hand pose estimation using AI, implementing DTW and CNN-GCN models to enhance gesture recognition, robustness, and accessibility.
Led peer instruction for Data Structures, Algorithms, and Discrete Math; created interactive activities, tutoring sessions, and review materials to boost comprehension.
Organized and managed a large-scale APSI campus event with 500+ attendees, coordinating logistics, teams, and operations to ensure seamless execution.