Navya Renuka Ankam

Navya Renuka Ankam

AI & Engineering Leader | Driving Scalable Banking Solutions at DBS | Technical Mentor | Generative AI Innovator | Enterprise Platform Modernization


About

Over the last 8+ years at DBS Bank, I have been building and modernizing enterprise-scale banking and payment platforms that power critical business functions across APIs, merchant payments, cross-border payments, and transaction processing. My experience spans Channels and Payment systems, with a strong focus on reliability, scalability, and operational excellence. I specialize in Java, Spring Boot, Microservices, Cloud-Native Architectures, OpenShift, AWS, API Platforms, and Banking Payments. I have contributed to strategic initiatives including ISO 20022 adoption, CBPR+ migration, and PCF-to-OpenShift modernization, helping drive the evolution of enterprise payment ecosystems. Beyond application development, I am passionate about solving engineering challenges through automation and AI. I have built AI-powered solutions for log analysis, OpenShift automation, and engineering productivity, earning recognition through multiple innovation and GenAI hackathon wins. What excites me most is combining deep banking domain knowledge with emerging technologies to create solutions that improve developer productivity, strengthen platform resilience, and accelerate business innovation. I enjoy leading initiatives, mentoring teams, driving cross-functional collaboration, and turning complex problems into scalable solutions.

Skills
TypeScript
JavaScript
Python
Java
React
Angular
Node.js
Google Cloud
Kubernetes
Docker
Gemini
LangChain
CI/CD
System Design
Experience

Senior Software Engineer

DBS Tech India

Jul 2018 to Present
  • Contributed to the development and enhancement of enterprise banking platforms across payments, APIs, and transaction processing domains.
  • Designed and implemented microservices-based solutions serving high-volume enterprise workloads.
  • Built integrations and automation capabilities that improved operational efficiency and reduced manual effort.
  • Played key roles in modernization programs, platform migrations, and service reliability initiatives.
  • Partnered with cross-functional teams to deliver scalable and secure solutions aligned with business objectives.
  • Established strong expertise in payments ecosystems, message transformation, routing, validation, and transaction orchestration.
  • Leading strategic initiatives across Payments Transformation, ISO 20022 adoption, and Cross-Border Payments modernization.
  • Designing and developing enterprise-scale solutions supporting mission-critical payment processing and transaction lifecycle management.
  • Driving cloud-native modernization initiatives using Java, Spring Boot, Microservices, OpenShift, and AWS.
  • Architecting scalable services and APIs that improve system resilience, operational efficiency, and time-to-market.
  • Collaborating with business stakeholders, architects, and engineering teams to deliver high-impact banking solutions.
  • Mentoring engineers in software design, engineering best practices, and AI-driven development approaches.
  • Recognized through multiple Good Catch awards for proactively identifying security, confidentiality, and operational risks before production impact.
  • Championing innovation through Generative AI adoption, automation initiatives, and engineering productivity improvements.
  • Mentoring engineers and teams on Generative AI technologies, use cases, and enterprise adoption strategies.
  • Promoting AI-assisted engineering practices that enhance productivity, innovation, and solution quality.
  • Guiding teams in identifying practical opportunities to leverage AI for automation and operational excellence.
  • Enabling knowledge sharing through mentoring sessions, technical discussions, and innovation initiatives.
  • Designed and developed an AI-powered solution that demonstrated the practical application of Generative AI in solving real-world business challenges. Recognized as a winning solution for innovation, usability, and business impact.
  • Built an AI-powered assistant capable of analyzing application logs and accelerating root-cause identification. Reduced troubleshooting effort by providing intelligent insights and actionable recommendations. Demonstrated the potential of AI-driven operations and engineering productivity improvements.
Education

B.Tech.

Gayatri Vidya Parishad College of Engineering (Autonomous)

Jun 2014 to Apr 2018