Staff Software Engineer, Team Lead

• Delivered a scalable SaaS banking platform with React 18, Next.js, TypeScript, and Tailwind CSS supporting 2M+ monthly users and improving customer engagement by 30% through progressive feature rollouts. • Built a real-time transaction monitoring dashboard using D3.js, Three.js, WebSockets, and SSE, delivering <500ms data updates to 20K+ concurrent users with multi-region HA support. • Developed digital onboarding and KYC compliance flows with custom React hooks and Redux state management, running A/B tests that improved account approval conversion by 18%. • Built and scaled internal design systems with Storybook and custom React component libraries, ensuring consistent UX across fintech products and reducing duplication across teams. • Championed migration to React Server Components (RSC) and Next.js 13 App Router, cutting client bundle sizes by 40% and improving frontend performance. • Developed a mobile banking app in React Native with real-time payment notifications, serving 300K+ monthly active users. Utilized Firestore and Supabase for lightweight event storage and sync of card transactions. • Designed and deployed containerized microservices in Kubernetes, orchestrating 15+ backend services in Node.js (Express.js) and Python (Django), processing over 10M financial events per day with gRPC for low-latency ledger updates. • Implemented stateless service patterns and API rate-limiting strategies to support horizontal scaling under peak transaction loads. • Integrated with core banking APIs for ACH, wires, and card issuing, using GraphQL and REST while maintaining API contracts with Pact and ensuring SLA compliance. • Optimized PostgreSQL and TypeORM schemas for ledger, audit trails, and transaction history, achieving 35% faster query performance and enabling sharding policies for scale. • Built ETL pipelines with Airflow and Spark, transforming 2TB+ of daily transaction and settlement data into Snowflake, BigQuery, and Databricks, cutting processing time by 60%. • Leveraged SQLAlchemy for backend data modeling and transformations in financial data pipelines. • Introduced distributed pub/sub systems with Apache Kafka and Celery for real-time payment workflows (ACH, card issuing, reconciliation), tested under failure scenarios with chaos engineering. • Boosted Core Web Vitals by 40% through frontend tuning and AWS CloudFront caching, reducing bounce rate by 25% and improving user retention by 15%. • Deployed Micro Frontends with Module Federation and NX, enabling independent deployments across multiple banking product modules. • Automated CI/CD with GitHub Actions, Vercel, AWS Lambda, and Terraform, cutting release cycles by 50%. • Integrated OpenAI and Anthropic APIs for fraud scoring and anomaly detection in transaction data, lowering false positives by 20%. • Integrated third-party APIs: Stripe (payment rails), SendGrid (transactional emails), Twilio (2FA, transaction alerts), and tRPC for type safe full-stack APIs in admin dashboards. • Built AI-powered features using LLM context injection and RAG pipelines, powering intelligent agentic workflows for compliance, transaction review, and document processing. • Built push-based data services using WebSockets, SSE, and HTTP Push to deliver real-time transaction and settlement updates. • Maintained 99.99% uptime with Datadog, New Relic, and Sentry, detecting anomalies preemptively with synthetic checks. • Mentored engineers across frontend, backend, and full-stack roles; several mentees promoted to senior roles within 12–18 months

Bachelor of Science(BS), Computer Software Engineering