# Kevin C

> Senior Software Engineer at Lōvu Health

Location: United States, United States
Profile: https://flows.cv/kevinc3

Senior Full-Stack Software Engineer with 10+ years of experience building AI-powered, cloud-native applications across AWS, GCP, and Azure. Specialized in designing scalable microservices architectures, integrating machine learning models into production systems, and developing secure, enterprise-grade web applications using React, Angular, Node.js, and Python. Strong expertise in AWS serverless ecosystems (Lambda, API Gateway, SQS, SNS, Step Functions), IAM solutions including AWS Cognito and Active Directory integrations, and CI/CD automation. Experienced in client-facing consulting environments, translating complex business requirements into high-impact, production-ready AI and data-driven solutions.

## Work Experience
### Senior Software Engineer @ Lōvu Health
Jan 2023 – Present | Cupertino, California, United States
·	Maternal health data was fragmented across devices and vendors, limiting visibility into daily pregnancy vitals. Built an AI-powered monitoring platform with React and Next.js that unified blood pressure, weight, and fetal heart rate tracking across 50+ integrations, enabling continuous monitoring throughout pregnancy.
·	Vital sign alerts were delayed and unreliable under high-frequency data loads. Built real-time dashboards with Node.js and FastAPI that processed streaming vitals securely and reduced alert latency by 42%.
·	High-risk pregnancy conditions were often detected late using traditional review workflows. Integrated Python-based ML models into clinical APIs to flag preeclampsia in 6% of patients and mental health risks in 30% of monitored populations earlier.
·	Patients struggled to find and access pregnancy wellness services due to manual eligibility checks. Built a secure marketplace platform that automated eligibility verification and connected patients to doulas, lactation, and mental health services.
·	Access control across clinics was inconsistent and difficult to manage at scale. Implemented Firebase Auth with Auth0 SSO and custom authorization to support secure multi-tenant access for OB-GYN clinics and care navigators.
·	Enhanced identity management and authentication security by implementing AWS Cognito with OIDC and RBAC, supporting HIPAA-compliant user provisioning and secure multi-tenant access across enterprise healthcare partners.
·	Remote monitoring devices sent data inconsistently and failed silently during outages. Designed an event-driven system with AWS Lambda and SQS that synchronized device data in real time with built-in fault tolerance.
·	Orchestrated complex maternal care workflows using AWS Step Functions to coordinate Lambda services, device ingestion pipelines, and clinical alert routing with built-in retry and failure handling mechanisms.

### Senior Full Stack Developer @ GRAIL
Jan 2020 – Jan 2023 | Menlo Park, California, United States
·	Cancer screening workflows required reliable delivery of complex genomic results at scale. Built the Galleri platform with React and Django, delivering multi-cancer detection results to 10K+ patients quarterly with 99.6% specificity.
·	Genomic sequencing data processing was slow and costly at high volumes. Built Spark-based Python pipelines processing 5TB+ daily, enabling faster signal detection for ML models.
·	Diagnostic inference pipelines introduced latency that slowed clinical workflows. Engineered a Node.js inference service with TensorFlow Serving that reduced signal processing latency by 42%.
·	Sample tracking and lab workflows lacked end-to-end traceability. Built an Angular-based LIMS with PostgreSQL partitioning that managed 200K+ samples quarterly with automated chain-of-custody tracking.
·	Clinical data access required strict regulatory and security controls. Designed FastAPI services with OAuth2 RBAC that met CLIA compliance and protected PHI for research partners.
·	Strengthened secure authentication and user federation by integrating AWS Cognito with clinical research portals, enabling secure identity management for internal teams and external oncology partners.
·	Implemented AWS Step Functions to orchestrate genomic data processing workflows, coordinating inference services, data validation, and audit logging across distributed microservices.
·	Collaborated directly with oncology research institutions and enterprise healthcare partners to gather integration requirements and deliver standardized diagnostic APIs.
·	Led cross-functional technical workshops to translate complex research workflows into scalable cloud-native architectures deployed on Kubernetes and AWS infrastructure.
·	Pipeline health and accuracy issues were hard to detect in real time. Built Vue dashboards with Prometheus metrics to monitor genomic workflows and model performance.

### Full Stack Developer @ CVS Health
Jan 2018 – Jan 2020 | Irving, Texas, United States
·	Prescription management systems struggled under high user traffic and slow response times. Built Angular and Node.js platforms with Redis caching that supported 8M+ users across 9,000+ locations.
·	Insurance verification caused delays in prescription fulfillment. Built Node.js microservices that reduced Aetna claim processing time by 38%.
·	Eligibility verification systems could not handle growing daily volume. Delivered APIs processing 500K+ daily requests with reliable synchronization to pharmacy systems.
·	Mobile refill experiences were limited and underused. Built a React Native app with Firebase messaging that increased digital engagement by 47%.
·	Inventory synchronization between pharmacies and clinical systems was manual and delayed. Designed event-driven AWS Lambda workflows to keep retail, distribution, and EHR systems in sync.
·	Copayment processing required strict payment security guarantees. Integrated Stripe with PCI-DSS compliant tokenization for secure prescription payments.
·	Pharmacists relied on manual medication review processes. Built Django-based automation using FHIR HL7 to streamline drug interaction checks.
·	Deployments risked outages across pharmacy systems. Implemented ECS deployments with Jenkins and blue-green releases, enabling safe bi-weekly releases.

### Full Stack Developer @ IncWorx Consulting
Jan 2017 – Jan 2018 | Schaumburg, Illinois, United States
·	Healthcare clients relied on manual workflows and disconnected systems. Built React and Node.js applications that automated hospital operations and documentation.
·	Operational metrics were unavailable in real time. Delivered Power BI dashboards backed by Azure SQL and APIs to provide live insights.
·	Clinical documentation systems lacked customization and automation. Built SharePoint solutions with React components and automated workflows.
·	Administrative teams spent excessive time on repetitive tasks. Implemented Power Automate and Azure Functions workflows that reduced manual entry by 65%.
·	EHR integrations were inconsistent across practices. Designed Node.js APIs with Prisma and Azure AD authentication to unify access.
·	Appointment scheduling systems were inefficient and error-prone. Built Angular scheduling platforms that optimized booking for 12 healthcare clients.
·	Legacy system migrations risked downtime during hospital mergers. Built Python and SSIS pipelines that consolidated systems with minimal disruption.
·	Deployment errors slowed client delivery timelines. Implemented Azure DevOps CI/CD with automated testing, reducing deployment errors by 40%.


## Education
### Bachelor of Science in Computer Science
Texas A&M University


## Contact & Social
- LinkedIn: https://linkedin.com/in/kevin-c-2974b03b1

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Source: https://flows.cv/kevinc3
JSON Resume: https://flows.cv/kevinc3/resume.json
Last updated: 2026-04-01