UTSAV A. NEGI

Master's graduate in Computer Engineering with a foundation in software engineering spanning full-stack development, mobile applications, and web technologies. Specializing in machine learning and reinforcement learning, including regression modeling, probabilistic approaches, neural networks, and federated learning for innovative AI solutions across industries.

2+
Years Experience
10,000+
Development Hours
100+
Games Completed
Profile

About Me

My journey in technology and development

My Story

Natively from the foothills of the Himalayas and raised in the Middle East, a unique blend of cultures and perspectives has shaped a lifelong curiosity about technology and its power to transform the world. Early exposure to diverse environments fostered adaptability, resilience, and a drive to solve meaningful problems—qualities that naturally guided the journey into computer science.

The first step began with software engineering, building robust solutions across full-stack development, mobile applications, and web technologies. Crafting scalable systems and collaborating with global teams instilled a deep appreciation for the foundations of software and the impact of thoughtful engineering on real-world challenges.

As the landscape of technology evolved, so did the fascination with artificial intelligence and machine learning. The excitement of seeing data-driven models revolutionize industries led to hands-on work in regression modeling, probabilistic approaches, neural networks, and advanced topics like federated learning and reinforcement learning. These experiences, from optimizing algorithms for performance gains to deploying solutions that empower researchers worldwide, solidified a passion for pushing the boundaries of what intelligent systems can achieve.

Yet, as machine learning became increasingly ubiquitous and powerful, new questions emerged about the scalability and limitations of classical approaches. This curiosity sparked a transition toward quantum computing—a field at the frontier of computational science. By exploring quantum principles and their intersection with machine learning, the journey now focuses on unlocking new possibilities in optimization, data analysis, and problem-solving that were once out of reach for traditional methods.

From software engineering to machine learning and now quantum machine learning, this path reflects a commitment to continuous learning, interdisciplinary exploration, and innovation. The goal is to contribute to the next generation of intelligent systems, share insights with the broader community, and help shape the future of technology at the intersection of AI and quantum science.

Experience

Prof. Vijay Gupta Lab

Prof. Vijay Gupta Lab

January 2024 - Present

Informatics Skunkworks

Informatics Skunkworks

September 2022 - May 2023

Space Science and Engineering Center

Space Science and Engineering Center

May 2022 - September 2022

Education

Purdue University

Purdue University

Master of Science

January 2024 - Present

University of Wisconsin - Madison

University of Wisconsin - Madison

Bachelor of Science

September 2019 - May 2023

Technical Skills

Technologies I work with

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Cloud Development
Cloud Deployment
Google Cloud Platform
IBM Watson
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Web Development
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Machine Learning
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Mobile Application Development
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Hardware & Digital Systems
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Software & Programming