Senior Full Stack Engineer

• Developed Python/Django APIs for secure patient data exchange with healthcare partners, achieving 100% HIPAA compliance and cutting manual data reconciliation by 80%. • Designed and developed a HIPAA-compliant patient portal using Next.js, React, TypeScript, and Node.js with PostgreSQL on AWS S3, tripling document processing throughput. • Built cloud-native gRPC services in Go deployed on Kubernetes (EKS), enabling seamless real-time communication across distributed systems and decreasing inter-service error rates by 40%. • Architected microservices with NestJS, GraphQL, Redis, and Kubernetes, cutting API response times by 60% and boosting checkout conversions by 12% for a retail client. • Built real-time analytics dashboards with Next.js, GraphQL, and Prisma, cutting reporting time by 40%. • Engineered Go-based microservices for high-volume claims processing (handling 1M+ daily requests), reducing average request latency by 55% and increasing overall throughput by 3x. • Implemented IaC and CI/CD pipelines, accelerating deployments by 70% (from 10 hours to 3 hours) with Terraform, Docker, and GitHub Actions. and ensuring reliable rollbacks. • Led and mentored a 7-person engineering team, coaching through pair programming and code reviews; boosted sprint delivery accuracy from 70% to 95%.

Software Developer

• Migrated monolithic analytics platforms to AWS microservices with Docker and Terraform, cutting infrastructure costs by 30% and improving uptime. • Implemented Python-based ETL pipelines leveraging Pandas and AWS Lambda, reducing data transformation times from 4 hours to under 30 minutes. • Rebuilt legacy UI as a Next.js/React SPA integrated with GraphQL APIs, slashing page load times by 50% and improving user engagement. • Designed and deployed Go services to support a customer identity platform, handling 50K+ concurrent sessions with 91% uptime. • Developed ETL pipelines in Node.js and Python with PostgreSQL, enabling near-real-time business intelligence and shifting reports from daily to hourly delivery. • Enhanced QA automation with Cypress and Jest, reducing regression cycles by 60% and cutting production bugs by 30%. • Automated cloud-native workflows with Python scripts and Kubernetes operators, eliminating 20+ hours/month of manual ops effort. • Trained 5 client engineers on CI/CD best practices, reducing onboarding time by 25% and improving release consistency.