The Good Tech Companies - As Banks Hit the Limits of Legacy Tech, Uttam Kotadiya Builds the Backbone of Real-Time Finance

Episode Date: January 29, 2026

This story was originally published on HackerNoon at: https://hackernoon.com/as-banks-hit-the-limits-of-legacy-tech-uttam-kotadiya-builds-the-backbone-of-real-time-finance. Software engineer Uttam Kotadiya helps banks escape legacy systems by building scalable, real-time, cloud-native platforms for modern finance. Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #bank-microservice-architecture, #real-time-financial-systems, #event-driven-finance-platforms, #cloud-native-fintech-infra, #payment-processing-system, #fintech-backend-engineering, #ai-ready-banking-platforms, #good-company, and more. This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com. As banks struggle to modernize aging legacy systems, software engineer Uttam Kotadiya delivers scalable, real-time financial platforms using cloud-native, microservices, and event-driven architectures. His work across banking, payments, and investment systems enables faster transactions, stronger resilience, and AI-ready infrastructure—reshaping how financial institutions operate at scale.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. As banks hit the limits of legacy tech, Uttam Kodidiyah builds the backbone of real-time finance, by Sonja Kapoor. As financial institutions race to meet the demands of real-time payments, digital lending, and AI-driven analytics, many find themselves constrained by aging technology stacks designed for a different era. Monolithic legacy systems once the backbone of global banking are now widely recognized as barriers tow innovation, operational resilience, and regulatory agility. Across the industry, modernization has shifted from a long-term goal to an immediate need necessity. Cloud native architectures, event-driven systems, and data-centric platforms are

no longer optional enhancements. They are rapidly becoming baseline requirements. Within this transition, engineers who combine deep back-end expertise with financial domain knowledge are playing a pivotal role in shaping the next generation of banking infrastructure. One such engineer is Uttam Kodidia, whose work across banking, credit card, and investment platforms reflects the architectural transformation underway in global financial technology. Engineering foundations built on academic rigor. Kotadiyah holds a master of science in computer science from the Illinois Institute of Technology, completed in 2023. His academic training spans large-scale data processing, artificial and

intelligence, data mining, and visualization disciplines increasingly central to modern financial systems. This research-oriented foundation enables him to approach engineering challenges with analytical depth, particularly in environments where performance, scalability, and data integrity are non-negotiable. In an industry where milliseconds can determine transaction success and system failures carry regulatory consequences, such rigor has become a defining asset. Driving change across core financial platforms. Since 2021, Codidia has contributed to mission-critical systems supporting banking operations, credit card processing, and investment services. His work has included the development and modernization of loan origination platforms and payment processing

systems domains where reliability, security, and throughput directly affect both institutional risk and customer trust. By operating at the intersection of complex business logic and large-scale distributed systems, Codidia has helped translate regulatory and financial requirements into resilient, production-grade software, and increasingly scarce skill set as financial systems grow in complexity. From monoliths to microservices, one of the most persistent challenges facing banks today is the migration away from tightly coupled monolithic architectures. Codidia has led multiple efforts to decompose legacy systems into scalable microservices, leveraging Spring-Budin 12-factor application principles to improve system flexibility and deployment velocity. His back-end expertise in Java-based enterprise systems

has supported the development of high-performance services that can evolve independently without disrupting core operations. Modern financial platforms need architectures that can change continuously without destabilizing critical services, Codidia noted. Well-designed microservices allow institutions to adapt to market and regulatory shifts while maintaining operational stability. Enabling real-time, event-driven finance. As real-time decision-making becomes standard across financial products, event-driven architectures have emerged as foundational infrastructure. Kotadiyah has designed and managed messaging and streaming systems that enable a synchronous communication across distributed services, ensuring low-latency data flow and system resilience. His experience spans both relational and

non-relational databases, supporting transactional consistency alongside high-volume analytical workloads. In parallel, he has implemented. implemented secure service integrations using industry standard AP as in authentication frameworks, and essential requirement in security-sensitive financial environments. Engineering discipline at enterprise scale. Beyond architecture, Codidia is known for emphasizing engineering discipline and delivery maturity. He has applied test-driven and behavior-driven development practices across enterprise projects, ensuring code quality in systems where failures can have outsized consequences.

His work spans the full software development lifecycle under agile and hybrid delivery models, with a focus on observability, monitoring, and continuous improvement key capabilities as financial systems operate across global time zones and customer bases. Solving infrastructure and performance bottlenecks, infrastructure automation remains a persistent challenge for large financial organizations. Codidia addressed this by implementing infrastructure as code strategies in cloud environments, significantly reducing deployment time and improving consistency across environments. At the performance layer, he has resolved real-time bottlenecks in high-thruput messaging systems

and optimized back-end services through concurrency tuning and memory management improvements that directly impact transaction reliability and system stability. Recognition across research and industry communities. Codidia's contributions extend beyond commercial systems into the global research and professional community. His work has been recognized through multiple international conference awards, including best paper honors and innovation awards in artificial intelligence. He has also served as a peer reviewer for leading academic publishers and international conferences, contributing to the evaluation of emerging research in computing and engineering. In addition, he has participated

as a speaker and session chair at global conferences spanning communication technologies, multidisciplinary research, and applied computing. The future of five. The future of financial back-end systems. Looking ahead, Codidia identifies multi-cloud strategies, serverless architectures, and real-time data platforms as defining forces in financial technology. His experience across major cloud ecosystems aligns with the industry's push for resilience, cost optimization, and geographic redundancy. He also points to the growing importance of data as a product models, supported by real-time streaming and large-scale analytics, as institutions seek immediate insight rather than retrospective

reporting. API evolution, including selective adoption of GraphQL, is further reshaping how financial data is consumed at scale. Most significantly, Codidia sees artificial intelligence as the next phase of backend evolution not as a standalone capability, but as an integrated layer embedded within scalable, cloud native platforms. Backend systems are no longer just processing transactions, he said. They are becoming intelligent platforms where real-time data, cloud architecture, and AI converged to drive decision-making. This story was distributed as a release by Sonia Kapoor under Hackernoon Business Blogging Program. Thank you for listening to this Hackernoon story, read by artificial intelligence.

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