Ayush Dua
Technology Specialist @Usc Leonard Davis School Of Gerontology
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WORK HISTORY
Technology Specialist @Usc Leonard Davis School Of Gerontology
Los Angeles, CA, US
Set up and managed classroom hardware and software environments, including recordings and live session support, resulting in smoother class delivery, better course coverage, and increased availability of quality lecture recordings for student revision, saving the instructor 10 minutes per lecture time and reducing technical interruptions. Developed Python automation scripts for alum database creation, enabling the Student Services team to quickly locate alum records for event outreach and engagement, saving approximately 2 hours of manual work per day and improving data accuracy by 33%. Built a web crawling pipeline using Python to scrape LinkedIn and Google data for alum enrichment, increasing the breadth and depth of contact information available for alum engagement efforts and strengthening follow-up capabilities. Automated regular backup processes using Microsoft Power Automate, ensuring reliable and consistent data protection while eliminating manual tasks and reducing the risk of data loss. Designed and contributed to interactive Power BI dashboards to visualize key reports and insights, enabling stakeholders to track trends and make data-driven decisions more efficiently.
EDUCATION
Sri Satya Sai Vidhya Vihar, Indore
High School, Physics, Chemistry, and Mathematics
Institute of Engineering & Technology DAVV, Indore
Bachelor of Engineering - BE, Computer Science
University of Southern California
Master of Science - MS, Computer Science
ABOUT AYUSH DUA
I’m a current MS Computer Science student at the University of Southern California with over three years of industry experience building real-world software systems. I’ve worked on backend and full-stack development at Amazon, OpenText (formerly Micro Focus), and Kaay Labs, delivering measurable improvements such as maintaining sub-25 ms latency at scale, reducing deployment times, and boosting data reliability. My skills span Python, Java, TypeScript, C++, cloud platforms (AWS, GCP, Azure), containerized systems with Docker and Kubernetes, and AI/ML workflows with tools like PyTorch and TensorFlow. I’ve also built projects like an AI-powered GPT-2 code documentation generator and a C++ query optimizer enhancement that significantly improved performance and accuracy. I enjoy turning ideas into scalable, high-quality solutions and collaborating with teams to solve complex problems. Outside of tech, I love dogs, enjoy hiking, and will always make time to rewatch The Office. I’m open to new opportunities in software engineering, ML/AI, cloud, and DevOps. Let’s connect if you’re looking for someone eager to contribute and keep learning.
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