

• Extensive Development Experience: 10.5+ years of experience in Web Applications, Micro services, and cloud-native development using C#, .NET Core, AWS, and distributed systems.
• GenAI & Modernization Engineering: Hands-on experience with Windsurf, Claude, MCP, and Mermaid.js for AI-assisted legacy modernization, architecture visualization, automated documentation, and unit-test generation.
• Broad Technical Skillset: Expertise in AWS (S3, EC2, RDS, Redshift, Direct Connect), Docker, Terraform, Packer, Python, Ansible, RabbitMQ, Kafka, and Active Directory integration.
• Healthcare & Cloud Specialist: Strong knowledge of FHIR, HL7, PACS, DICOM, and medical imaging systems with enterprise healthcare experience at Philips since 2018.
• Cloud Engineering Expertise: attempted AWS Solutions Architect exam (score: 672) and specializing in secure cloud migration, hybrid infrastructure, and scalable healthcare platforms.
Philips IntelliSpace Cardiovascular: Philips IntelliSpace Cardiovascular (ISCV) streamlines cardiovascular workflows, supports informed clinical decisions, and enhances operational efficiency across departments and enterprises.
Healthcare Analytics Platform – Cloud Migration and Data Solutions: A scalable, cloud-based analytics platform for processing and managing healthcare data across multiple hospital systems.
• Designed and implemented scalable data pipelines on AWS using Redshift, S3, and RDS.
• Built proofs of concept for database partitioning with PgPartman on Aurora to optimize performance.
• Developed automation scripts in Python and Shell for onboarding/offboarding hospital systems to the cloud.
• Created database schemas and structures to support multi-tenant, cloud-based web applications for hospitals migrating from on-premise setups.
Developed a Python application for data integration with Bold BI, enabling real-time visualization and reporting across healthcare datasets.
Project: Interoperability Data – R&D Healthcare Data Federation
Developed C# microservices for converting CDA documents into FHIR STU3 and R4-compliant formats.
Backend & APIs: C#, NET Core (60, 31, 22), ASPNET, WCF, WPF, GraphQL, SQL
Cloud & Infrastructure: AWS (S3, EC2, RDS, Redshift, VPC, Direct Connect, VPN), Cloud Foundry
IaC & Containers: Terraform, Docker, Docker Compose, AWS Packer
Microservices architecture
GenAI & Productivity: Windsurf, Claude 35, MCP, Prompt Engineering, Mermaidjs
Messaging & Databases: RabbitMQ, Kafka, PgPartman, Aurora, SQL Server
Healthcare Standards: FHIR (STU3/R4), HL7, PACS, Medical Imaging