Ryan Pena

Healthcare technology engineer with 11+ years of experience building AI-driven and full-stack products across telehealth, remote patient monitoring, ambient clinical documentation, and generative AI for care delivery.Deep experience in HIPAA-compliant systems, EHR integrations, LLM-powered clinical workflows, and production voice and conversational AI. I specialize in turning complex clinical requirements into reliable, scalable software—leading cross-functional teams, shipping zero-to-one platform capabilities, and building products that clinicians and patients can trust and use in real-world care environments. I’m passionate about building AI-first healthcare products and seeking startup opportunities where I can help transform ambitious ideas into scalable, production-ready systems.

Lead Software Engineer at Hippocratic AI (2024-02 – Present)

Hippocratic AI builds safety-focused healthcare AI agents for patient-facing healthcare conversations, care coordination, and operational support. Industry: Healthcare AI / Generative AI / Patient Engagement Skill: Python, JavaScript, TypeScript, React, Node.js, AWS Lambda, AWS S3, AWS RDS, PostgreSQL, Redis, REST APIs, GraphQL, Docker, Kubernetes, GitHub Actions, CI/CD, HL7/FHIR, HIPAA, LLM APIs, Prompt Workflows, Agentic Workflows, Monitoring, Logging, CloudWatch, Secure Data Handling

• Led development of patient-facing healthcare agent workflows for the Polaris Healthcare Agent Platform using Python, JavaScript, TypeScript, React, Node.js, AWS, and secure API services.
• Built backend services for the Polaris Constellation Architecture, including multi-agent routing, conversation state management, escalation handling, and clinical safety review workflows.
• Developed patient intake workflows that collected symptoms, medications, allergies, visit reasons, and structured pre-visit data before clinical handoff.
• Integrated appointment scheduling workflows with reminder logic, patient notifications, confirmation flows, and audit-friendly activity tracking.
• Built chronic care management workflows for patient follow-up, care plan tracking, status updates, and structured handoff records.
• Implemented validation logic and escalation paths for adverse event support workflows across safety-sensitive patient and pharma communication use cases.
• Supported longitudinal patient follow-up workflows for real-world evidence tracking, engagement history, outcomes data, and structured reporting.
• Built internal operations dashboards for agent performance, conversation outcomes, workflow failures, and support team visibility.

Senior Software Engineer at Ambience Healthcare (2021-10 – 2024-01)

Ambience Healthcare provides an AI platform for clinical documentation, coding, compliance, and specialty-specific provider workflows. Industry: Healthcare SaaS / Clinical Documentation / Revenue Integrity Skills: Python, JavaScript, TypeScript, React, Node.js, AWS, PostgreSQL, MySQL, Redis, FastAPI, REST APIs, GraphQL, Docker, Kubernetes, GitHub Actions, CI/CD, HL7/FHIR, HIPAA, Clinical Data Modeling, Data Validation, Observability, Unit Testing, Agile Collaboration

• Built full-stack clinical documentation workflows within the Ambience Clinical Documentation Platform for note review, structured editing, and provider-facing productivity tools.
• Developed APIs, editor features, and backend validation logic for AutoScribe workflows supporting real-time medical documentation review.
• Built data workflows for AutoCDI that supported documentation completeness, coding review, compliance tracking, and downstream billing operations.
• Created frontend and backend features for AutoAVS patient summary workflows, including after-visit instructions and structured care information.
• Built pre-charting data views for AutoPrep that helped clinicians review patient history, visit context, and risk signals before encounters.
• Developed internal review tools for AutoCode to surface coding quality issues, track corrections, and support clinical operations teams.
• Worked with product, clinical, and engineering teams to convert specialty-specific workflows into reusable software patterns.
• Built observability workflows for documentation errors, review status, production issues, and quality monitoring across clinical workflows.

Full Stack Engineer at Abridge (2019-03 – 2021-09)

Abridge turns patient-clinician conversations into structured clinical documentation and EHR-ready workflow outputs. Industry: Healthcare AI / Clinical Conversation Intelligence Skills: JavaScript, TypeScript, React, Node.js, Python, AWS, PostgreSQL, REST APIs, GraphQL, Docker, CI/CD, Speech-to-Text Workflows, LLM APIs, HL7/FHIR, EHR Integrations, Clinical Documentation, HIPAA, Data Pipelines, Monitoring, Testing

• Built full-stack features for the Abridge AI Platform that supported clinical conversation review, documentation workflows, and provider productivity tools.
• Supported Abridge Inside workflows by building EHR-connected review experiences for AI-generated clinical notes inside existing provider systems.
• Built backend workflows for the Contextual Reasoning Engine to support structured clinical context, note sections, and source-linked review experiences.
• Developed APIs and review interfaces that converted medical conversations into structured clinical documentation workflows.
• Created frontend components for patient conversation timelines, helping clinicians inspect key moments, summaries, and follow-up items from visits.
• Built internal quality review workflows for clinical notes, missing context, output consistency, and documentation review status.
• Developed backend validation and data handoff patterns for Epic-connected documentation workflows.
• Built provider workflow tools for managing visit summaries, edits, follow-up tasks, and documentation completion status.

Software Engineer at HealthSnap (2016-03 – 2019-01)

HealthSnap provides a virtual care management platform for remote patient monitoring, chronic care management, and chronic condition support. Industry: Remote Patient Monitoring / Chronic Care Management / Virtual Care

• Built backend and frontend features for the HealthSnap RPM Platform supporting remote patient monitoring workflows and care team operations.
• Developed RPM device data ingestion workflows for patient-generated readings, validation rules, normalization, and alert-ready storage.
• Built chronic care management dashboards for patient status, device readings, care tasks, and follow-up activity.
• Created responsive patient monitoring dashboards that helped care teams review patient trends, abnormal readings, and engagement activity.
• Developed population analytics features for chronic condition trends, patient cohorts, and care program performance.
• Built internal billing and program operations tools for care activity tracking, enrollment status, and operational reporting.
• Worked with clinical operations and product teams to improve care team collaboration tools and reduce manual handoffs.
• Implemented secure patient data workflows with validation, role-based access, and audit-friendly patterns for sensitive healthcare data.

Software Engineer at Maven Clinic (2014-07 – 2016-04)

Maven Clinic provides virtual care and benefit support for women and families across fertility, pregnancy, parenting, and ongoing family health needs. Industry: Digital Health / Women’s Health / Family Health / Virtual Care

• Built web application features for Maven Virtual Clinic supporting virtual care access, provider search, appointment workflows, and member support.
• Developed provider specialty directory features that helped members search and filter providers across women’s and family health categories.
• Built appointment booking workflows for scheduling, provider availability, visit details, and member notifications.
• Created member care dashboard views for care plans, appointment history, provider messages, and benefit information.
• Supported family health program tools used by care teams for member follow-up, program tracking, and support workflows.
• Built employer benefits portal features that helped employer clients review program usage and member engagement.
• Implemented secure member data workflows with backend validation, role-based access, and audit-friendly handling of sensitive healthcare data.
• Improved care navigation workflows that helped support teams guide members through virtual care and benefit options.

Bachelor's degree in Computer Science – University of California, Berkeley (2010-08 – 2014-05)