Shreya Gupta is a Senior Software Engineer and AI/ML specialist with an impressive track record of advancing scalable systems at leading organizations such as Google, Goldman Sachs, and Expedia Group. Renowned for her expertise in machine learning, resource optimization algorithms, and AI model training infrastructure, she has played a pivotal role in developing groundbreaking solutions that have revolutionized AI efficiency, reduced operational costs, and advanced sustainable practices. With leadership experience in major technical projects, including Gemini 2.0 and Project ML Capacity Unification, Shreya Gupta has cemented herself as a trailblazer in the AI and machine learning industry.
Early Life and Academic Foundation
Shreya Gupta’s academic journey laid the foundation for her stellar career in technology. She completed her Bachelor’s in Computer Science from Indira Gandhi Delhi Technical University, where she graduated as the University Topper and Valedictorian, boasting a perfect GPA of 10.0. Her academic excellence continued at the University of Southern California, where she earned a Master’s in Computer Science with honors, maintaining a 4.0 GPA. Her academic experiences, marked by a deep understanding of computer science, machine learning, and theoretical foundations, shaped her ability to bridge the gap between research and practical implementation.
Professional Journey
Shreya Gupta’s professional journey began in 2018 when she joined Expedia Group as a Software Development Engineer. Here, she designed automation solutions that significantly optimized tool usage and implemented machine learning-driven systems that improved operational efficiency by 65%. However, it was her time at Goldman Sachs that truly marked her contributions to high-stakes technical innovation. As a Senior Technical Analyst, Shreya Gupta played a key role in enhancing post-execution trade processing by automating workflows and introducing performance-boosting systems, achieving a remarkable 200% reduction in processing time.
At Google, Shreya Gupta has made monumental contributions to AI model training and scheduling systems. She is credited with designing highly scalable ML scheduling systems for projects like Gemini 2.0 and Project ML Dynamic Holdbacks, which have had profound impacts on both performance and cost efficiency. For instance, Shreya Gupta’s efforts led to unlocking thousands of GPUs, saving millions in compute costs, and drastically reducing Google’s carbon footprint.
Leadership and Innovation
Shreya Gupta is a leader who embodies innovation. Her leadership style is collaborative, fostering an environment of cross-functional teamwork. She has led diverse teams in groundbreaking projects such as the Gemini 2.0 AI training infrastructure and the ML Capacity Unification project, where her strategic insights and technical expertise have led to significant improvements in resource allocation and operational efficiency. Her ability to steer projects that integrate cutting-edge machine learning algorithms with robust infrastructure demonstrates her forward-thinking approach to technological challenges.
Notable Achievements
Shreya Gupta has made significant contributions to the tech community, serving as the State Lead for Google Developer Groups and as an Ambassador for Women Techmakers. In these roles, she spearheaded regional initiatives, organizing workshops, meetups, and mentorship programs aimed at empowering developers and promoting inclusivity in the tech industry. Her leadership reflects a strong commitment to building a collaborative and supportive environment for emerging tech talent. Shreya’s exceptional technical accomplishments have been recognized with honors such as the Google Tech Impact Award and her inclusion among the Top 50 Women Coders in India. Her dedication to innovation and mentorship continues to inspire many across the field.
Academic Contributions
Alongside her professional achievements, Shreya Gupta has made significant academic contributions. She has reviewed key conferences such as ICLR 2025 (DeLTa) , IJCNN 2025, GreenAI-2025, ICLR 2025 (Wild) lending her expertise to the development of future AI research. Shreya Gupta’s academic rigor and professional experience have allowed her to bridge the gap between cutting-edge theory and practical, real-world AI applications, driving innovations that have reshaped industries.
Future Vision and Impact
Looking ahead, Shreya Gupta’s influence in AI and machine learning will continue to shape the future of technology. Her ongoing work in optimizing AI training systems, improving resource allocation, and advancing sustainable AI practices will have lasting effects on the tech industry. As AI models become more complex, Shreya Gupta’s contributions to scalable and efficient systems will remain essential in driving both technological progress and environmental sustainability. With her passion for mentorship and innovation, Shreya Gupta is poised to lead future advancements that will transform the way industries utilize AI, ensuring a more efficient, sustainable, and impactful future.
Source: Shreya Gupta: A Visionary Leader in AI and Machine Learning
