Shyam – React, Java, Microservices

A banking rewards platform that enables customers to earn and track reward points based on financial transactions. The platform was redesigned from a batch-based system to a near real-time event-driven architecture, allowing reward events to be processed within minutes while maintaining financial accuracy and preventing duplicate credits. Kafka-based event streaming, automated reconciliation workflows, and resilient processing mechanisms supported scalability, reliability, and future program expansion.

Key Accomplishments

Business Impact:

• Reduced reward posting latency from 24+ hours to under 15 minutes.
• Improved customer satisfaction and trust in the rewards program.
• Reduced the volume of reward-related support inquiries.

Reliability Improvements:

• Achieved exactly-once business processing through an idempotent architecture.
• Eliminated duplicate reward credits.
• Improved recovery time during downstream service outages.

Scalability:

• Supported substantial growth in reward transaction volume without requiring architectural changes.
• Enabled new reward programs to be onboarded using the same event-driven framework.

A full-stack payment platform that enables customers to initiate, manage, and track payments while providing operations teams with visibility into transaction lifecycle events, exceptions, reconciliation processes, and settlement status. The platform consolidated fragmented payment experiences into a unified system, improving transparency, operational efficiency, and payment reliability. An event-driven architecture combined with responsive user interfaces supported real-time status updates, integrations with external payment providers, and end-to-end auditability.

Customer Experience:

• Delivered a unified payment experience that enabled customers to initiate, monitor, and manage transactions through a single interface.
• Reduced payment-related support inquiries through improved transaction visibility and status tracking.
• Improved payment completion rates by streamlining checkout and confirmation workflows.

Reliability & Scalability:

• Processed more than 100,000 transactions daily while maintaining high availability.
• Eliminated duplicate transaction execution through idempotent API design.
• Built retry-safe workflows that maintained consistency during network and payment provider failures.

Operational Excellence:

• Created real-time operational dashboards for transaction monitoring and exception management.
• Reduced payment investigation time through end-to-end transaction traceability.
• Improved reconciliation accuracy through automated audit and settlement reporting.

A frontend platform modernization initiative focused on improving engineering productivity, consistency, and scalability across a large portfolio of customer-facing applications in the AI and sports domains. The program consolidated a fragmented ecosystem of independently managed applications into domain-oriented monorepos, introduced a governed design system, and standardized development workflows and architectural practices. These improvements reduced operational complexity, accelerated feature delivery, and enabled teams to build and maintain products more efficiently while delivering a more consistent user experience.

• Defined the target-state frontend architecture for multiple customer-facing platforms;
• Established domain-driven monorepo boundaries and ownership models;
• Led the migration strategy from standalone repositories to Nx-managed monorepos;
• Defined frontend governance standards, architectural guardrails, and coding conventions;
• Built and governed a shared React component library used across multiple product teams;
• Created reusable design primitives, layout systems, form components, navigation patterns, and accessibility standards;
• Integrated Storybook as the central component documentation and collaboration platform;
• Established versioning and release management processes using Changesets;
• Standardized project scaffolding, build pipelines, testing frameworks, and dependency management;
• Reduced onboarding complexity for new engineers;
• Implemented shared tooling for linting, testing, code generation, and release automation;
• Improved local development experience and CI/CD efficiency;
• Collaborated closely with product, UX, accessibility, and platform engineering teams;
• Led architecture reviews and migration planning sessions;
• Influenced adoption across multiple engineering organizations;
• Mentored engineers on frontend architecture and React best practices.

A cloud-based pharmacy analytics platform that helps hospitals gain actionable insights into medication inventory, dispensing efficiency, pharmacy operations, and compliance performance. The platform consolidated data from multiple healthcare systems into a unified analytics experience, providing dashboards, reports, and operational metrics that supported better decision-making, reduced medication waste, and improved operational outcomes. Designed as a secure multi-tenant SaaS solution, the platform served hundreds of healthcare organizations while maintaining strict requirements for scalability, performance, and data isolation.

• Partnered closely with Product, UX, Data Science, and Customer Success teams to define platform vision and roadmap;
• Participated in customer discovery sessions with hospital stakeholders to understand operational challenges and reporting requirements;
• Prioritized platform capabilities based on customer feedback and adoption metrics;
• Led delivery planning and execution across multiple engineering teams;
• Led architecture reviews and technical design sessions for a multi-tenant analytics platform;
• Defined service boundaries, API contracts, data models, and integration patterns;
• Established tenant isolation strategies and security standards;
• Created scalability guidelines and performance budgets for critical user journeys;
• Guided frontend architecture for analytics dashboards and reporting workflows;
• Directed backend service design supporting large-scale analytical workloads;
• Collaborated with engineers on data ingestion, aggregation, and reporting pipelines;
• Introduced reusable design patterns and engineering standards across teams;
• Led initiatives to improve system responsiveness and user experience;
• Designed caching strategies for frequently accessed analytical datasets;
• Optimized database access patterns and API response structures;
• Improved dashboard rendering and data retrieval efficiency.