Swetank Mohanty

+ Demonstrated understanding of the product development lifecycle, contributing to each phase from idea generation to market
Launch and performance optimization.
+ Advocated for best practices in coding, unit testing, and scalability; skilled in identifying technical issues and delivering data-
driven solutions.
+ Leveraged Java, Python, Spring Boot, and Spring Cloud, along with AWS, to develop enterprise applications and data-driven
solutions.
+ Engaging with cross-departmental teams to understand dependencies, priorities, and opportunities for simplification nd collabo-
ration.
+ Analyze system performance and implement optimizations, improving application ficiency and scalability by leveraging best
practices in coding and database management
+ Engineered resilient cloud-native microservices using Java, Spring Boot, and AWS, designed 0 support data-intensive workloads.
and ML integrations with 99.9% availabilty.
+ Led code reviews and design discussions focused on scalability, observability
and reducing post release issues by ~20%. and data correctness, improving system stability

+ Improved application performance by 30-40% through code refactoring, query optimization, and caching strategies, reducing
average response time by ~250 ms.
+ Established and enforced coding standards and design guidelines, conducting regular code reviews for teams of 6-10 engineers,
improving maintainability and reducing rework.

+ Led the design and development of scalable cloud applications, ensuring optimal performance and reliability by leveraging cutting-edge technologies and industry best practices.
+ Partnered with product managers, data scientists, and business teams to translate business objectives into data pipelines, APIs, and ML ready datasets, accelerating feature delivery by ~20%.
+ Authored and maintained technical design documents, API contracts, and architecture diagrams, improving onboarding time for new team members by ~30%.
+ Supported product performance monitoring by defining KPIs, data quality metrics, and logging standards, enabling faster feedback loops and data-informed roadmap decisions.
+ Partnered with product, QA, DevOps, and data teams across 4+ stakeholders, streamlining dependencies and reducing delivery cycle time by ~15%.
+ Managed 3-4 module-level initiatives, coordinating tasks and resources across 5+ cross-functional teams, delivering 100% of
milestones on schedule with > 95% stakeholder satisfaction, while partnering with data science teams to operationalize ML
models via cloud-native deployment, versioning, and monitoring, supporting production inference pipelines handling SOK+ pre-
dictions per day.
+ Incorporated ML model outputs (classification / scoring / recommendation signals) into backend services via REST APIs, en-
abling real-time and batch inference use cases.

+ Designed and implemented Java-based backend microservices using Spring Boot, supporting core banking workflows processing
100K+ transactions per day, and built RESTful APIs integrated with Angular-based front-end interfaces, improving UI response
time by ~30%.
+ Worked in an Agile/Scrum environment, contributing across 10+ sprint cycles while collaborating with business stakeholders.
and product owners to translate requirements into technical specifications and user sories aligned with Citi NAs regulatory and
strategic objectives, achieving 95% on-time story delivery.
Maintained high code quality by enforcing coding standards, peer code reviews, and automated testing, increasing test coverage
1070%+ and reducing post-release defects by ~20%, while supporting CUCD pipelines and cloud-ready deployments to improve
build and release stability.
Engaged with stakeholders to gather and analyze business requirements, translating them into technical specifications aligned
with Citibanks strategic objectives.
Collaborated with product, QA, DevOps, and data teams across 4+ stakeholders, streamlining dependencies and reducing delivery
cycle time by ~10%.
Collaborated with cross-functional teams including UX/UI designers, DevOps engineers, and database administrators to deliver
end-to-end integrated features, reducing release-related issues by ~15%, and applied emerging technologies and best practices to
modernize legacy components and improve overall system performance.

+ Built and optimized scalable Java EE applications with JasperReports for dynamic PDF/DOCX report generation, enabling auto-
mated reporting for 10K:+ records per cycle and improving reporting turnaround time by ~40°%.
+ Engineered responsive Angular + JavaScript front-end interfaces integrated with backend services, improving user engagement
and page load performance by ~30%, while deploying applications on WebSphere Application Server and WAS Liberty. ensuring
99.9% application availabilty.
Automated CCD pipelines using Jenkins, reducing deployment time by ~50% and increasing release frequency, while trou-
bleshooting complex production issues and optimizing application performance to reduce system downtime by ~20°%.
Worked closely with cross-functional teams to design and deploy microservices architectures, leveraging WebSphere Application
Server for seamless integration and performance optimization.
Designed and deployed microservices-based architecture, leveraging Java, REST APIs, and WebSphere, improving system scal-
ability and enabling independent service deployments, reducing feature release cycle ime by ~25°%.
+ Led code reviews and mentored 3-5 junior developers, enforcing coding standards and best practices, while enhancing test
coverage to 70%+ and improving overall code quality and maintainability across releases.