Diego Leon

Online applicant tracking, job posting, resume management, scoring, and hiring workflows.

• Lead migration from legacy MVC to Blazor Server, evolving a monolithic ATS into a modern service-oriented architecture with .NET 10 / ASP.NET Core APIs.
• Design, develop, and operate multi-tier web applications across Azure and AWS for job posting, applicant tracking, HR document automation, and secure business modules.
• Build and extend NinjaGig AI Suite for resume processing, scoring, and candidate-job matching with skill/experience extraction and recruiter-facing fit ranking.
• Architect backend services and integrations for payments, job feeds, transactional email, optimized SQL, secure data models, CI/CD, zero-downtime deployments, PCI validation, and incident response.

Healthcare and pharmacy application development, integration support, and production troubleshooting.

• Deliver contract development and application support using .NET 10/C#, SQL, Blazor/Razor, APIs, and cloud-connected architecture.
• Design, test, document, and enhance internal frontend/backend applications with API integrations and complex SQL queries/stored procedures.
• Collaborate with QA, Infrastructure, CIO/Business Operations, and agile stakeholders on cloud/microservices improvements, code reviews, and secure performance fixes.

Healthcare education, certification, and revenue cycle technology.

• Built scalable web, mobile, and cloud-connected applications using .NET 8/.NET 6, Blazor, Razor, .NET MAUI, Azure B2C, and Azure DevOps pipelines.
• Led Xamarin-to-.NET MAUI migration and coordinated a small engineering team, improving mobile architecture and cross-platform maintainability.

Real-time ride-dispatch and mobility operations platform.

• Designed real-time, event-driven ride operations using .NET, EF Core, RabbitMQ, SignalR/WebSockets, Blazor, and .NET MAUI.
• Built cross-platform driver/operator experiences, reusable Blazor components, queue-based communication, and live location workflows.

AI product portfolio spanning Tech For People, TechForAGI, and Lex OS with agent-native gateways and legal-tech systems.

• Architected Lex OS, an AI-powered legal operating system for case analysis, jurisprudence exploration, OCR document intake, evidence panels, and per-case workspaces.
• Built TechForAGI Gateway for autonomous AI systems to discover services, request quotes, process tasks, and receive structured machine-readable responses.
• Designed Super RAG architecture combining semantic retrieval, vector indexes, SQL/graph sources, retrieval audits, prompt orchestration, and evidence grounding.
• Directed AI product decisions on LLM prompts, tool/function calling, OCR workflows, source attribution, usage metering, latency/cost tracking, and API monetization.

Cloud-hosted HOA and community management SaaS applications.

• Supported cloud-hosted web and desktop applications with .NET 6/.NET Framework 4.8, Azure infrastructure, agile delivery, and production troubleshooting.

Enterprise contact center and cloud communications software.

• Delivered enterprise web and desktop applications using C#, ASP.NET, MVC, .NET Core, Entity Framework, SQL Server, RESTful APIs, and Scrum practices.

COVID-19 symptom reporting, WhatsApp teleconsultation, and telehealth delivery at national scale.

• Led a 125-person technology, health, and marketing team delivering symptom reporting, WhatsApp teleconsultation, web workflows, Twilio WebRTC video, microservices, and event-driven .NET solutions.

Nationwide banking application infrastructure, DevOps, and backend API delivery.

• Managed nationwide application infrastructure, production environments, DevOps culture, Azure Boards/Pipelines/Repos/Tests, Git, Terraform, VMware, SQL Server, IIS, Windows Server, Azure Cloud, and backend banking APIs.

Microfinance banking applications, APIs, and customer support platforms.

• Built and integrated banking applications, APIs, SQL Server workflows, customer support platforms, SignalR, sockets, WebSockets, REST/SOAP services, and .NET web/desktop solutions.

Case analysis, jurisprudence exploration, OCR-enabled document intake, evidence panels, per-case workspaces, and administrative controls.

Enables AI systems to discover services, request quotes, process tasks, and receive structured machine-readable responses.

Parses applicant documents, extracts skills and experience signals, and ranks candidate fit against job requirements for recruiter workflows.

Founder-led AI and product portfolio with developer mentorship and community engagement.