Project Experience
AI Platform Development & Architecture
• Designed and led development of a new AI-driven product workflow platform to automate complex customer response processes (including RFP automation).
• Architected systems that synthesize structured product requirements using large language models, including ChatGPT-based workflows.
• Guided AI-assisted coding environments, overseeing complex system orchestration where coding assistants generated significant portions of production code.
• Designed and implemented event-driven architecture to support scalable, distributed workflows.
• Integrated healthcare interoperability standards including FHIR and HL7 data interchange specifications.
• Participated in customer-facing implementations, including potential on-site builds and deployment support.
Required
Full-Stack & Infrastructure
• Expert-level understanding of infrastructure-as-code principles
• Advanced front-end development using React
• Strong backend development in Python, focused on AI workflows and AI agents
• Deep knowledge of system design for scalable, distributed architectures
AI & Workflow Automation
• AI workflow orchestration and agent-based systems
• Advanced use of ChatGPT and LLM tooling
• Experience leveraging coding assistants (Cursor, Claude modules) across the development lifecycle
Cloud & DevOps
• Expert-level knowledge of AWS, including:
• DynamoDB
• EventBridge
• RabbitMQ
• Middleware services
• VPC architecture and networking
• CI/CD pipeline design and implementation
Domain Knowledge
• Experience in Life Sciences environments (preferred/ideal exposure)
• Understanding of healthcare data standards (FHIR, HL7)