Jermaine John Sizemore

Healthcare Prescription Management Platform (Next.js, NestJS, PostgreSQL, TypeScript, Azure, ASP.NET, C#)

• Architected end-to-end prescription management platform integrating 4 interconnected systems with Azure AD authentication, serving healthcare providers through automated PDF generation and enterprise ERP integration with Dynamics 365 and Surescripts
• Engineered serverless PDF generation pipeline using Azure Functions and Blob Storage, processing XML prescription data into formatted documents with HIPAA-compliant document management

E-Prescribing Platform EPCS Regulatory Compliance (MS SQL, TypeScript, Visual Basic)

• Led EPCS certification delivery for pharmaceutical e-prescribing platform, securing $1.3M+ in follow-on business with 96% audit pass rate despite legacy VB/.NET Framework constraints
• Modernized authentication by implementing user-specific tokens replacing Basic auth, plus enhanced SQL-based API logging

Discrete Database Integration (MS SQL, PostgreSQL, TypeScript, C#, Azure)

• Implemented cloud-based Azure Functions solution synchronizing D365 JSON and MS SQL databases with TypeScript Zod validation

Fox XF Pipelines (PostgreSQL, Elixir, React.js, TypeScript, Terraform, AWS)

• Architected cost-optimized data pipeline migration from AWS Data Firehose to EMR, designing Terraform modules for Apache Flink jobs processing multiple data streams to Apache Iceberg

Fox Lighthouse (PostgreSQL, Elixir, Python, React.js, JavaScript, TypeScript, CDK, AWS)

• Enhanced application security by implementing data obfuscation, eliminating PII data leaks and achieving SOC 2 Type II compliance
• Implemented Aurora PostgreSQL backup/restore system with point-in-time recovery using CDK-managed Lambda functions

ML Builder Experience Metrics (NoSQL, Java, TypeScript, Smithy, CDK, AWS)

• Designed and implemented large-scale ETL pipeline processing daily Alexa ML training events across multiple AWS regions, transforming diverse data formats via Lambda and delivering to S3/Glue data lake for ML platform serving 600M+ devices
• Established infrastructure-as-code approach with CDK including versioned deployments, unit testing, and integration test gates

ML Model Comparison Report Generation Tool (Python, DSL, AWS)

• Designed automated early warning integration testing system for report generator workflows, enabling preemptive detection of high-severity issues
• Documented service architecture and modeled security threat vectors with mitigations for service re-certification

Legacy Java App Server Conversion & Migration (SQL, Java, .NET Core 3.1, Azure)

• Converted legacy Java monolith to modern C# .NET Core distributed microservices with N-tier architecture using Azure Functions
• Updated SQL databases and Azure cloud infrastructure using Terraform and Jenkins

eCAC/pCAC Cloud Migration (SQL, Redis, .NET Core 3.1, Azure)

• Built resilient distributed HL7/XML message processing system handling 30K cases/hour and 10M messages/day
• Served as technical lead across 2 product teams (8 engineers), architecting shared cloud infrastructure and enabling parallel development workflows

Dash Cam Microservice/Web Portal (SQL, .NET Core 3.1, React.js, AWS)

• Led development & design of commercial Dash Cam Microservice API written using C# .NET Core 3.1 with an N-layer architecture
• Implemented live streaming using Google FCM and various levels of testing
• Set up automated testing, building, & deployment to Microsoft IIS via CircleCI, Jenkins, & Octopus Deploy

Internal CRM (SQL, .NET Core 2.1, React.js, AWS)

• Integrated Twilio communication service API into internal CRM, supporting 9k+ monthly SMS messages and 180k+ monthly calls
• Rebuilt company card-charging infrastructure, resulting in the successful collection of $1.5M+
• Augmented the internal CRM performance by adding lazy loading and memoization improvements in the React layer that increased 200+ sales employees' work efficiency by 5x
• Acted as a point of contact between business & developers, addressing bugs and explaining business requirements