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Lead Software Engineer · Levo Health

Healthcare AI systems for intake, engagement, and clinical data flow.

I architect AI patient intake and scheduling agents, FHIR-based EHR integrations, HIPAA-aware cloud platforms, CRM automation, and analytics systems for healthcare and pharmaceutical teams.

9+
years building production software
60%
admin overhead reduced with AI intake
99.9%
uptime across client environments
25%
lift in campaign targeting metrics
AI intake operations
Realtime API · FHIR R4 · Healthie
Patient conversationlive
I can help with intake, scheduling, and refill context. What brings you in today?
I need to reschedule my follow-up and ask about a refill.
Appointment moved, refill request prepared, and the chart context is ready for review.
medicationRequest.create
appointment.update
patientJourney.followup.schedule
Clinical data path99.9% uptime
Consent and identitysynced
Intent classificationsynced
FHIR payload mappingsynced
CRM follow-up queuedsynced

Healthcare AI systems

Production systems across the patient journey, not isolated demos.

My work sits where patient experience, clinical workflows, marketing operations, and secure infrastructure have to move together.

Realtime patient operations

AI intake and scheduling agents

OpenAI Realtime API, Python, and LangChain systems that handle intake context, appointment changes, refill requests, and patient communications with measurable operational impact.

OpenAI Realtime APILangChainPythonLangfuse

Clinical interoperability

FHIR and EHR integration architecture

HIPAA-aware bidirectional data exchange across Healthie, MDI, HL7/FHIR workloads, audit logging, RBAC, and secure patient data movement between marketing and clinical systems.

FHIR R4HealthieMDIHL7

Growth infrastructure

CRM automation and analytics pipelines

GoHighLevel journey orchestration, automated follow-up sequences, GA4 event taxonomies, attribution models, and Looker Studio dashboards for healthcare marketing teams.

GoHighLevelGA4Looker StudioAttribution

Applied healthcare ML

Engagement, adherence, and risk models

TensorFlow, PyTorch, scikit-learn, and SageMaker models for engagement scoring, treatment adherence prediction, and risk stratification inside production healthcare workflows.

TensorFlowPyTorchSageMakerscikit-learn

Experience timeline

A full-stack path into healthcare AI leadership.

Jan 2026 - Present

Lead Software Engineer

Levo Health

Owns healthcare marketing platform architecture, AI/ML product direction, multi-cloud infrastructure, FHIR/EHR integrations, and engineering standards for pharmaceutical and clinical clients.

  • Reduced administrative overhead by 60% with real-time AI intake and scheduling agents.
  • Sustained 99.9%+ uptime across AWS and GCP client environments.
  • Improved campaign targeting metrics by 25% with engagement, adherence, and risk models.

Jun 2023 - Dec 2025

Senior Software Engineer

Levo Health

Delivered healthcare and pharmaceutical applications with React, Next.js, TypeScript, NestJS, Fastify, Apollo, AWS CDK, and AI-powered workflow features.

  • Built patient assessments, dosing calculators, BMI analyzers, and clinician dashboards.
  • Improved React performance by 40% through code-splitting, virtualization, and memoization.
  • Integrated OpenAI, Hugging Face, TensorFlow.js, scikit-learn, and SageMaker features.

May 2019 - Oct 2021

Senior Software Engineer

Prolifics

Engineered full-stack enterprise applications for finance and healthcare clients while migrating legacy systems to AWS cloud-native microservices.

  • Reduced operational costs by 25% and increased deployment velocity by 40%.
  • Built secure REST and GraphQL APIs with JWT, OAuth2, mTLS, and OWASP protections.
  • Led DevSecOps practices across CI/CD, SAST, container scanning, Selenium, and ArgoCD.

Oct 2015 - Feb 2019

Software Engineer

Tech Mahindra

Built telecom, banking, and finance applications with React, JavaScript, Java, Spring MVC, Hibernate, and relational databases.

  • Improved high-volume API performance by 30% with caching, CDN strategy, and SQL tuning.
  • Created reusable React component libraries that reduced feature development time by 50%.
  • Supported enterprise telecom billing services handling 10,000+ TPS peak loads.

Technical stack

Tools for regulated, high-availability healthcare platforms.

AI / ML / LLM

OpenAI Realtime APILangChainLangfuseHugging FaceTensorFlowPyTorchscikit-learnAWS SageMaker

Product engineering

ReactNext.jsTypeScriptTailwind CSSRedux ToolkitNode.jsNestJSFastifyPython

Healthcare data

FHIR R4HL7HealthieMDIHIPAA architectureRBACAudit loggingGoHighLevel CRM

Data and analytics

PostgreSQLSupabaseMongoDBRedisDynamoDBGA4Looker StudioGraphQL

Cloud and DevOps

AWS LambdaECSEKSRDSS3GCPDockerKubernetesTerraformGitHub ActionsArgoCD