Senior Full Stack Engineer

• Led development of a modern healthcare platform using React and Python/Django, supporting 500+ internal clinical and administrative users across research and operations teams. • Architected and maintained 20+ scalable REST APIs using Django REST Framework, implementing versioning, filtering, auditing and custom permissions which reduced API-related defects by ~35% and improved long-term maintainability. • Integrated external healthcare systems using HL7 and FHIR standards, enabling secure exchange of tens of thousands of patient and clinical records while maintaining full auditability and regulatory compliance. • Designed and implemented RBAC, custom authentication middleware and secure session/token management using Django and Redis, cutting unauthorized access attempts by ~45% and improving security posture. • Built asynchronous processing pipelines with Celery and RabbitMQ to handle long-running tasks (report generation, bulk data processing), reducing processing time by up to 60% and eliminating UI blocking for end users. • Optimized PostgreSQL schemas and queries through indexing, query profiling and refactoring, reducing average API response times by ~30% under production load. • Containerized services with Docker and managed CI/CD pipelines on Google Cloud Platform, reducing deployment time by ~50% and improving release reliability across environments. • Partnered with product, UX and clinical stakeholders to deliver 10+ major feature releases, improving workflow efficiency and achieving 100% ontime delivery for planned milestones.

• Built and maintained enterprise SaaS integrations and internal developer tools using React, TypeScript, Node.js and GraphQL, supporting 10+ client systems and reducing manual integration effort by ~60%. • Designed and implemented scalable backend services in Node.js and Python (FastAPI) for data ingestion and processing, handling millions of records per day with PostgreSQL and MongoDB while maintaining >99.9% uptime. • Containerized services with Docker and contributed to Kubernetes deployment manifests, enabling horizontal scaling and reducing environment￾related production issues by ~40%. • Improved automated testing and CI pipelines, increasing test coverage by 35%+ and reducing meantime to recovery (MTTR) for integration failures by ~50%. • Participated in architecture reviews, API versioning strategy, and cross-team technical initiatives, helping standardize patterns that reduced duplicated engineering effort across teams and improved long-term maintainability

• Contributed to the development of a cross-platform video communication product using React (web) and React Native (mobile). • Integrated WebRTC for real-time video and audio communication, improving call stability and reducing latency by approximately 20%. • Built and optimized backend services using Node.js and GraphQL, reducing API response times by 25% through resolver and query optimization. • Designed and optimized MongoDB data models and indexing strategies, improving read performance by 30%. • Implemented Firebase-based authentication, reducing authentication errors by 40% post-launch. • Deployed and scaled services on Microsoft Azure, cutting downtime by roughly 50% during peak usage periods. • Strengthened platform security with end-to-end encryption and RBAC, significantly reducing unauthorized access attempts

• Contributed to e-commerce platform using Next.js, improving page load performance by 40% through server-side rendering and SEO optimization. • Developed backend services with Laravel, optimizing API performance by 25% for catalog, user and order management systems. • Built internal tooling and integrations using C#/.NET to support automation and operational efficiency. • Optimized MySQL schemas, indexing and queries, reducing data retrieval times by 30%. • Led PayPal and Stripe payment gateway integrations, reducing transaction-related issues by 35%. • Implemented secure JWT-based authentication and AWS Cognito identity management, improving login reliability and user onboarding speed. • Deployed and optimized infrastructure on AWS to support high-traffic events while minimizing downtime.