Designed and developed production-critical backend services and data pipelines supporting financial transaction processing, analytics, reporting, and downstream business applications using Python, Go, SQL, PostgreSQL, and Redis.
Architected microservices around clearly defined business and data domains, separating data ingestion, validation, transformation, persistence, workflow orchestration, and distribution responsibilities to improve maintainability and independent service evolution.
Developed and maintained a secure enterprise healthcare platform used for service workflows, document exchange, patient-related data management, internal operations, and information sharing.
Led the design and implementation of multi-tenancy PaaS architectures, including API gateways, service meshes, and observability frameworks in Python.
Built and maintained distributed backend services using Python, and C# within a microservices-based platform.
Built backend services using Python, FastAPI, Django, REST APIs, SQLAlchemy, and PostgreSQL, supporting secure document workflows, role-based access, reporting, and operational dashboards.
Built lightweight Go-based services for high-performance background processing, async jobs, data synchronization, and internal platform utilities.
Worked extensively with Revvity Signals to execute and optimize scientific workflows in the pharmaceutical industry, improving data processing efficiency.
Designed and developed a cloud-native healthcare platform using microservices architecture, building backend services with Go and Node.js for patient workflows, provider operations, and healthcare data integrations.
Developed Go-based high-performance services responsible for asynchronous healthcare event processing, background jobs, and communication between distributed platform components.
Built Python-based AI and data processing services for document intelligence, clinical data transformation, workflow automation, and LLM-powered healthcare assistant capabilities.
Developed Node.js and TypeScript backend services providing REST APIs, GraphQL APIs, authentication workflows, and integration layers between frontend applications and internal healthcare services.
Designed React-based healthcare dashboards enabling clinical teams to manage patient information, care workflows, and operational activities.
Implemented event-driven architecture using Kafka and Azure messaging services to process healthcare events asynchronously and improve system reliability.
Built HL7 and FHIR integration services to exchange patient and clinical data securely with external healthcare systems and third-party providers.
Designed PostgreSQL data models for transactional healthcare workloads and optimized indexing, query execution, and database performance.
Implemented secure API communication using OAuth 2.0, OpenID Connect, JWT authentication, and role-based access control.
Containerized services using Docker and deployed workloads on Kubernetes running in Azure cloud environments.
Built CI/CD pipelines using Azure DevOps to automate testing, security scanning, deployment, and release management.