Senior Software Engineer

Designed and built an AI-powered healthcare platform using React for the frontend and Python with Django for the backend, storing and deploying on AWS.
- Developed a full-stack web dashboard within Amazon Health to support a modular care planning system, enabling clinicians to create and manage patient-specific treatment plans.
- Implemented and maintained secure, high-performance RESTful APIs in Python for features like patient intake, billing, self-scheduling, and WebRTC-based video meetings in Node.js.
- Wrote and optimized complex SQL queries in Python and aggregation pipelines to handle large-scale data operations with low latency.
- Integrated OpenAI and LangChain into backend workflows to automate patient conversations in AI voice agents and virtual assistants by using Python and FastAPI.
- Handled real-time event processing and messaging at scale using Kafka and Redis, ensuring data consistency across distributed services.
- Ensured authentication and authorization using OAuth2 and AWS IAM, following HIPAA-compliant security practices.
- Built infrastructure with Terraform and CloudFormation, and deployed containerized microservices using Docker and Kubernetes (EKS).
- Monitored backend performance and data pipelines with DataDog and Splunk, proactively resolving anomalies. Implemented automated workflows using AWS Lambda and used S3 for secure file storage.
- Wrote unit and integration tests using Junit and Jenkins, mocking API responses from EHR.
- Mentored junior developers across remote and distributed teams, managing effective collaboration across time zones.

- Developed and launched booking features using Python with Django for backend services and React for the frontend, delivering a smooth and reliable booking experience.
- Designed scalable microservices in Python to handle core travel workflows, policy rules, and expense processing.
- Built and maintained GraphQL APIs and internal services for bookings, payments, and user data, ensuring high availability and performance.
- Improved API speed and efficiency by adding Query batching and Caching, reducing response times significantly.
- Delivered user-facing frontend features in React, including admin dashboards and real-time trip tracking for enterprise clients.
- Enabled real-time updates through WebSocket integrations and background processing using job queues. Integrated Elasticsearch with PostgreSQL to support fast, accurate full-text search while keeping relational data consistent for analytics.
- Used Kafka for the synchronization between PostgreSQL and ElasticSearch.
- Deployed cloud infrastructure using Google Cloud Platform tools like Compute Engine, Cloud Storage, and BigQuery for scalability and security.
- Set up thorough testing workflows with Testify (unit tests), Postman (API testing), and Playwright (end-to-end testing).
- Deployed services with Docker and Kubernetes, and managed infrastructure changes using Terraform and GitHub Actions CI/CD pipelines.