Oliver Eugene

Led the design and delivery of AI-enabled healthcare applications supporting clinical documentation, ambient note generation, provider productivity, and EHR-integrated workflows using C#, .NET 8, ASP.NET Core, React and Azure. Architected scalable .NET 8 backend services with Azure Service Bus to process clinical conversation data, improving documentation pipeline throughput by 40% and supporting 10K+ note events per day. Integrated AI and LLM capabilities using Azure OpenAI, OpenAI APIs, prompt engineering, structured JSON output validation, and semantic search concepts, reducing manual clinical note editing effort by approximately 25%. Improved API response times by approximately 35% by optimizing Entity Framework Core queries, SQL Server indexes, asynchronous processing, and Redis caching for high-volume documentation workflows. Implemented HIPAA-conscious security patterns using OAuth2, OpenID Connect, JWT, Azure Key Vault, encryption, role- based access control, and PHI-safe logging, strengthening compliance readiness across cloud-hosted clinical services. Reduced production defects by nearly 28% through automated testing and quality gates using xUnit, Moq, Playwright, Azure DevOps pipelines, SonarQube, and Application Insights. Mentored a cross-functional engineering team of 5+ developers, establishing coding standards, reusable component patterns, design review practices, and delivery guidelines that accelerated feature delivery by roughly 20%.

Engineered enterprise applications for semiconductor product data, device analytics, engineering workflows, and manufacturing decision support using C#, ASP.NET Core, SQL Server, Azure, React, and Angular. Modernized legacy .NET Framework applications into .NET Core microservices with Docker, Azure App Service, Azure DevOps, and REST APIs, reducing technical debt by approximately 35% and improving deployment flexibility. Built event-driven integrations using Kafka, RabbitMQ, .NET Core, microservices, and REST APIs to support high-volume semiconductor data processing, improve fault tolerance, and reduce downstream processing latency by approximately 30%. Increased data processing throughput by approximately 40% by refactoring synchronous batch jobs into asynchronous workflows using Azure Functions, Azure Service Bus, background workers, optimized SQL indexes, and bulk operations. Enhanced dashboard performance by nearly 30% through React/Angular optimization, API pagination, lazy loading, Redis caching, SQL query tuning, and improved data aggregation strategies. Established CI/CD pipelines using Azure DevOps, Git, YAML pipelines, Docker, automated testing, and deployment approvals, reducing manual release effort by approximately 45%. Collaborated with product owners, hardware engineers, data teams, QA analysts, and DevOps teams to convert complex semiconductor business processes into reliable software features aligned with Agile delivery goals.

Developed full stack applications supporting machine vision products, industrial automation workflows, image inspection configuration, customer support tools, licensing systems, and internal manufacturing operations using C#, ASP.NET MVC/Core, Angular, SQL Server, and Web API. Delivered responsive web applications with Angular, TypeScript, RxJS, Bootstrap, REST APIs, and reusable UI components, improving user task completion speed by approximately 30% for internal operations teams. Optimized SQL Server stored procedures, indexing strategies, Entity Framework queries, and transactional operations, reducing average report generation time by approximately 50% for high-volume operational datasets. Implemented integrations with internal ERP, CRM, licensing, and device management systems using REST APIs, scheduled jobs, message queues, XML/JSON processing, and secure service-to-service communication, reducing manual data reconciliation by nearly 35%. Deployed cloud-based file processing and reporting workflows using AWS S3, Lambda, and CloudWatch, improving batch job reliability by approximately 25% and reducing manual monitoring effort for manufacturing support applications. Reduced recurring support tickets by about 25% by redesigning error-prone administrative screens with ASP.NET Core, Angular, client-side validation, audit trails, and improved exception handling. Partnered with QA, product managers, manufacturing stakeholders, and support engineers in Agile/Scrum teams to estimate features, refine requirements, conduct peer reviews, and release stable software across multiple business-critical platforms.

Contributed to healthcare communication applications supporting secure clinical messaging, care team coordination, alert routing, and mobile-first collaboration workflows using C#, ASP.NET MVC, Web API, SQL Server, JavaScript, jQuery, HTML, CSS, and Bootstrap. Implemented RESTful API endpoints with ASP.NET Web API, C#, SQL Server, and JSON for user management, message delivery, notification preferences, and role-based access, improving backend service consistency across clinical workflows. Fine-tuned SQL Server stored procedures, indexes, and query patterns, boosting database performance by nearly 20% and lessening response times for key functions. Assisted with AWS-hosted application support using EC2, RDS, and IAM, improving production troubleshooting efficiency by approximately 15% for healthcare communication services. Automated routine troubleshooting and data validation tasks with T-SQL scripts, SQL Server Agent jobs, and internal utilities, decreasing manual investigation time by nearly 15% for common production support scenarios. Reduced UI-related defects by around 18% by improving front-end validation and browser compatibility using JavaScript, jQuery, Bootstrap, HTML5, CSS3, and ASP.NET MVC views.