United States
I’m a Senior Staff Software Engineer with over 7+ years of experience building scalable, high-performance SaaS applications and leading engineering teams across frontend and backend systems. I specialize in React.js, Nest.JS, TypeScript, Node.js, and Python along with AWS cloud infrastructure (EC2, S3, RDS, Lambda), CI/CD pipelines and monitoring tools like Sentry and New Relic. Throughout my career, I’ve led the design and implementation of complex systems used by thousands of users, improved application performance and reliability, and driven technical decisions that align engineering execution with business outcomes. My expertise includes: • Frontend architecture & scalable component systems • API design & backend services (Node.js) • Cloud infrastructure & DevOps (AWS, CI/CD) • System design & performance optimization • Mentoring engineers and leading cross-functional initiatives Beyond writing code, I focus on elevating engineering standards, improving developer experience, and building systems that scale sustainably.
Lead Architect & Full-Stack Engineer driving scalable, cloud-native solutions that power real-time analytics, payments, and secure enterprise workflows. Spearhead technical strategy, mentor engineering teams, and implement cloud-native, AI-integrated solutions with Go, React, Node.js, and AWS. Focused on creating robust, high-performance systems while aligning engineering initiatives with business goals. • Designed event-driven microservices with Kafka, RabbitMQ, Redis, and PostgreSQL, reducing backend latency by ~40%. • Developed an AI-powered financial assistant using LangChain + RAG, enabling secure, real-time insights with RBAC and OAuth 2.0. • Deployed and optimized infrastructure on AWS (Lambda, API Gateway, DynamoDB, Kubernetes) achieving 99.9% uptime and 30% cost reduction. • Implemented CI/CD, automated testing, and enterprise-grade security aligned with PCI-DSS, HIPAA, and GDPR.
Led architecture and delivery of a scalable, data-intensive LMS platform supporting millions of learners across multi-role workflows and enterprise environments. • Built modular frontend architecture using React, TypeScript, and Next.js (SSR/SSG) for high-performance dashboards and complex workflows. • Designed and scaled Node.js microservices (REST/GraphQL) with DynamoDB and MongoDB for high-concurrency systems. • Architected event-driven systems using Kafka & RabbitMQ, enabling reliable asynchronous processing. • Implemented secure multi-tenant authentication (JWT, OAuth 2.0) and cloud infrastructure on AWS (CloudFormation, VPC, OpenSearch). • Mentored engineers and improved team velocity by 25% while delivering AI-powered learning insights.
Designed and delivered data-intensive analytics platforms powering enterprise decision-making in regulated environments. • Built scalable front-end systems using React, TypeScript, Redux, D3.js, and Chart.js for high-volume data visualization. • Developed event-driven backend services with Node.js/NestJS, GraphQL, Kafka, RabbitMQ, and PostgreSQL. • Integrated AI/GenAI solutions (LangChain, RAG, PGVector) to automate insights and enhance real-time decision support. • Ensured performance, scalability, and compliance (PCI-DSS, GDPR) across distributed cloud systems. • Mentored engineers and collaborated with cross-functional global teams to drive architecture and delivery excellence.
Contributed to the architecture and delivery of enterprise healthcare analytics platforms, transforming complex clinical and claims data into real-time, actionable insights within regulated environments. • Built responsive analytics dashboards using React, TypeScript, and Next.js, supporting real-time patient outcomes, cost trends, and utilization metrics across web and mobile (React Native/Expo with OTA updates). • Developed secure backend microservices with Node.js/Express, implementing validation, rate limiting, and FHIR/HL7 integrations for interoperability with EHR and hospital systems. • Architected event-driven data pipelines using Kafka, AWS Lambda, Step Functions, and SQS, optimizing PostgreSQL and Redis caching to reduce latency by ~40%. • Ensured HIPAA-compliant security with RBAC, encryption in transit/at rest, audit logging, and secure PHI storage in AWS S3 with lifecycle and disaster recovery policies. • Automated CI/CD using Jenkins and GitHub Actions, improving deployment reliability and sprint velocity in Agile environments.
Built scalable healthcare analytics platforms delivering real-time insights. • Developed React/React Native dashboards with D3.js and Highcharts for clinical KPIs and risk metrics. • Implemented micro-frontend architecture and reusable Storybook-driven components. • Designed Node.js/Express microservices with AWS Lambda & DynamoDB for real-time data processing. • Ensured HIPAA/HL7 compliance with JWT/RBAC, encryption, and audit logging. • Automated CI/CD pipelines with Jenkins & GitHub Actions for reliable deployments.