Krishna Dusad: Engineering Intelligence into the Future of Fintech

Krishna Dusad is a Senior Software Engineer at Uber and a recognized leader in financial technology. Known for his deep technical expertise, he has led high-impact projects that leverage AI and automation to enhance global payment systems, streamline operations, and open new markets, establishing himself as an innovator in enterprise tech.
Early Life and Academic Foundation
Krishna’s journey began with a rigorous academic foundation at the University of Illinois at Urbana-Champaign, where he completed both his B.S. and M.S. in Computer Science. Mentored by renowned advisors David Forsyth and Ranjitha Kumar, he immersed himself in advanced topics in machine learning, artificial intelligence, and systems engineering. Graduating with high honors, he consistently made the Dean’s List and even completed his undergraduate degree a year early. These early academic accomplishments laid a solid groundwork for his career, not only shaping his technical skills but also instilling a research-driven mindset.
During his time at Illinois, Krishna co-founded the Illinois Autonomous Underwater Vehicle Team and contributed to international robotics competitions, showing an early penchant for integrating intelligence into autonomous systems. He also served as a teaching assistant for applied machine learning and web programming courses, reflecting his commitment to knowledge sharing and community development.
Professional Journey
Krishna joined Uber in 2019, where he serves a pivotal figure in shaping its Enterprise Billing and Intelligent Payments Infrastructure. His technical vision has helped Uber navigate the highly regulated and complex landscape of global financial transactions.
His projects demonstrate both scope and depth. Notably, he developed the Net Settlements system that reconciles cross-product line earnings, unlocking a multi million dollar annual market. He engineered the SNAP Invoicing system that enabled Uber to accept government food assistance benefits, facilitating access to over 41 million people across the US. Additionally, Krishna led efforts on Stripe integration, SEPA Direct Debit expansion, and automated dispute management, each reducing costs, expanding market reach, and strengthening regulatory compliance.
Krishna’s systems often involve multi-platform integration, intelligent routing, and automated adaptation to regulatory requirements, challenges that demand not only coding expertise but visionary system architecture.
Leadership and Innovation
Beyond his technical prowess, Krishna exhibits a leadership style rooted in mentorship, clarity, and collaboration. At Uber, he has conducted over 200 technical interviews and mentored numerous engineers, actively shaping the next generation of software developers. His approach to leadership combines precision with adaptability, enabling his teams to build systems that are not only robust but future-proof.
What sets Krishna apart is his ability to innovate intelligently. His systems don’t just meet current needs, they anticipate future challenges. Whether through creating real-time settlement platforms or building AI-powered billing systems, his solutions reflect a deep understanding of both technology and business imperatives.
Notable Achievements
Krishna’s contributions have generated measurable business value: millions in increased revenue through intelligent credit card record validation, multi-millions in cost savings through payment optimization, and over a billing in annual billing managed through enterprise billing. These are not just numbers, they represent the successful application of intelligent engineering to solve some of the most pressing operational problems in fintech. Moreover Krishna’s work in payments has touched hundreds of millions of users at Uber, powering everything from $400M in credit card collections everyday, to SNAP where his work will enable 40M people to order via SNAP EBT on Uber.
Academic Contributions
Krishna maintains a strong connection to academia, with several publications and a patent to his name. His 2018 paper on an AI-driven recommendation system for clothing has been cited nearly 300 times, underlining its influence in the machine learning research community. His U.S. patent on neural network-based recommendation systems highlights his dual impact on both theory and application. Through his research, Krishna continues to bridge the gap between academic insights and real-world technological implementation.
Future Vision and Impact
As financial systems grow increasingly complex and intertwined with regulatory, social, and technological frameworks, Krishna’s work at the intersection of AI, payment intelligence, and automation, is more relevant than ever. He remains committed to pushing the boundaries of what intelligent systems can achieve, whether in optimizing global payment flows or building inclusive financial tools that reach underserved populations.
Krishna Dusad is not just building software, he’s building the future of intelligent financial infrastructure. With a rare blend of academic excellence, engineering depth, and visionary leadership, he continues to drive innovation that will shape the next decade of enterprise technology.
Source: Krishna Dusad: Engineering Intelligence into the Future of Fintech