Academic title, degree: Master’s degree in Data Science
Field: Software Engineering & DevOps
Organization: Amazon
Position: Software Development Engineer II
City: Lynnwood, Washington
Country: USA
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Apoorva Kasoju is a seasoned technology leader with over nine years of experience in software engineering, cloud architecture, and AI-powered innovation. Currently serving as a Software Development Engineer II at Amazon, she has earned recognition for building scalable, high-impact systems that align closely with business goals and customer needs. Her work stands at the intersection of engineering precision and practical problem-solving, consistently driving measurable results.
Apoorva holds a Master’s degree in Data Science from Northeastern University, where she focused on artificial intelligence, optimization techniques, and scalable systems. She earned her Bachelor’s degree in Computer Science from Osmania University, laying the groundwork for a career marked by both technical depth and strategic thinking.
At Amazon, Apoorva has played a central role in delivering some of the company’s most impactful innovations. She led the development of the Customer Returns Card on the Seller Dashboard, which garnered over 128,000 views and 8,700 clicks within its first month. The initiative resulted in a 1.5% reduction in customer returns and delivered approximately $6 million in cost savings.
Another highlight of her work is the Seller Insights Dashboards designed for the Canadian marketplace. These dashboards integrate data from over 20 sources and support more than 215,000 daily requests, empowering sellers with real-time insights and improving operational efficiency at scale. Apoorva also developed a secure external portal for law enforcement agencies in the EMEA region, enabling the creation of over 3,500 legal cases within a month of launch. The platform strengthened collaboration with Amazon’s legal teams and provided localized support to enhance regulatory responsiveness.
Beyond her technical contributions, Apoorva is deeply committed to mentorship, actively guiding junior engineers and students in areas such as backend development, cloud infrastructure, and career progression. Her efforts have helped cultivate a culture of engineering excellence and leadership within the teams she works with.
In addition to her industry accomplishments, Apoorva is an active contributor to the global research community, having authored four peer-reviewed publications in international journals and conferences that address key challenges in artificial intelligence, cybersecurity, and system optimization. Her published works include:
• “AI-Driven Anomaly Detection in Cyber-Physical Systems” – International Review of Engineering (IRE)
• “AI-Based Cyber Threat Detection Using Graph Analysis and Reinforcement Learning” – International Journal of Science and Research (IJSR)
• “Optimizing Cyber-Physical System Efficiency through Predictive Modeling” – International Journal of Science and Research (IJSR)
• “Leveraging Explainable AI and Reinforcement Learning for Enhanced Transparency in Adaptive Fraud Detection” – IEEE 8th Conference on Energy Internet and Energy System Integration (EI2)
These publications demonstrate Apoorva’s ability to blend academic insight with real-world applications, particularly in areas critical to the future of digital infrastructure and intelligent systems. Her research explores innovative uses of explainable AI and reinforcement learning, underscoring her commitment to transparency, security, and system performance.
Within Amazon, she has been recognized internally for her technical leadership and ability to drive innovation that directly supports the company’s strategic objectives. Her work consistently demonstrates how thoughtful engineering can deliver both operational excellence and customer impact.
Apoorva Kasoju embodies the best of modern software engineering, combining deep technical expertise, a sharp focus on innovation, and a dedication to mentoring and leadership. Her contributions continue to shape the future of software development and market-driven technology solutions.
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