Iman Haji
Software Engineer II @ Amazon
- Role
- Software Engineer at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Iman Haji
As a software engineer, I am deeply passionate about tackling complex problems and driving innovation through technology. With a keen eye for detail and a commitment to excellence, I strive to create elegant solutions that are both functional and beautiful. I am constantly learning and pushing the boundaries of what is possible, seeking to stay at the forefront of new technologies and best practices.My academic journey and passion for research led me to pursue a Master\'s degree at the University of Washington where I was involved in extensive research—a background which honed my expertise in artificial intelligence and machine learning. In my current role as a software engineer at Amazon, I specialize in back-end software development in the Devices org, with experience spanning from Alexa AI to Fire TV. My current project is a high-visibility customer-facing streaming product serving over 5 million customers.My journey as a woman in tech is marked by a relentless pursuit of excellence in software engineering, and I am excited to continue contributing to the ever-evolving tech landscape.
Experience
Software Engineer
Sep 2022 — Present · Seattle, WA, US
Contributed to the launch of a high-visibility customer-facing streaming product serving over 5 million customers that seamlessly aggregates content from over 400 providers, enabling users to stream live channels and on-demand videos spanning multiple genres.• Led the end-to-end implementation of on-demand video and live channel metadata caching, significantly reducing content latency by 70% and ensuring a seamless and responsive streaming experience.• Architected and executed two essential APIs facilitating seamless data integration and communication between backend metadata workflow and the front-end client, ensuring real-time content updates and data consistency.• Directed the operational readiness and optimization of engagement services and infrastructure, empowering the app to track engagement metrics effectively; optimized the AWS Redshift cluster for improved data ingestion and analytics.• Designed and implemented features enabling users to favorite categories as a precedent for personalized content recommendations, resulting in increased user engagement and streamed hours.
Education
University of Washington College of Engineering
Master of Science - MS, Engineering
University of Washington College of Engineering
Bachelor's Degree, Engineering
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