Daniel Abrunhosa Fernandes

- Built a production AI-assisted development toolkit using Claude Code and MCP, with healthcare-safe review agents enforcing HIPAA/PHI, security, EF Core, and API standards across .NET services.

- Accelerated the .NET 6→10 / EF Core migration analysis from months to 3 days using AI-assisted tooling, reviewing 155 files and identifying 25 issues; delivered a production-ready remediation plan in 2

- Designed and implemented core healthcare platform capabilities supporting QPP quality measures and MIPS submissions, translating complex CMS regulations into scalable, production-ready systems.

- Built a high-throughput AI document-processing workflow handling ~100K documents/day, combining cloud services, background processing, document classification, and microservices. Reduced AI inference c

- Drove a complex, 6-month legacy-to-cloud migration of hundreds of services. Directed a team of 8 engineers using a wave-based, phased-replacement strategy to safely transition to distributed microservices (.NET 5/6, Azure Service Bus, GCP Pub/Sub, Docker, Kubernetes) without disrupting legacy operations.

- Architected and independently built the end-to-end healthcare revenue-cycle workflow usin

- Led a cross-functional integration team of 5 engineers (.NET and Java Spring) to architect a high-performance decoupling layer, successfully centralizing connectivity for 10+ distinct teams and distributed services across the organization.

- Delivered the core messaging infrastructure and met strict SLAs within a compressed 6-month timeline, subsequently shaping the integration layer's expansio

- Led a cross-functional integration team of 5 engineers (.NET and Java Spring) to architect a high-performance decoupling layer, successfully centralizing connectivity for 10+ distinct teams and distributed services across the organization.

- Delivered the core messaging infrastructure and met strict SLAs within a compressed 6-month timeline, subsequently shaping the integration layer's expansio

- Delivered the full MVP for a strategic event-driven platform as Principal Architect, leading a team of 5 engineers to build and launch the core system from the ground up.

- Engineered a fully auto-scaling infrastructure on AWS (Lambda, Docker) using a CQRS architecture to process, insert, and react to real-time data streams via Apache Kafka and Elastic Stack.

- Bridged legacy and modern enviro

- Architected and delivered a flexible, rules-driven validation engine from scratch for fund services workflows, successfully processing 50+ complex business rules and validation cases, including dynamic Excel row rule formulas.

- Slashed infrastructure costs and improved reliability by designing an auto-scaling, serverless backend using AWS Lambda and Docker (Rancher). This architecture ensured

Research in:
- Differential Equations
- Neuroscience
- Computational Neuroscience
- Numerical Simulations
- Finite Element Method (FEM)
- Domain Decomposition Method
- Software Development

- Architected and delivered the first Brazilian Computational Neuroscience Software to support large-scale simulations for the academic community, serving as both Lead Architect and principal researcher.

- E

- Engineered cross-platform integration solutions connecting internal government tools with the Oracle Service Cloud platform using C# (.NET Core, ASP.NET MVC 5) and PHP (CakePHP).

- Guaranteed data integrity and system interoperability across high-security data pipelines supporting DataPrev, the federal enterprise responsible for managing Brazil’s national social security database across 1,300+

- Engineered full-stack web functionalities for the "PGEDigital No Paper Project" using CakePHP, JavaScript, and MS SQL Server, driving a major digital transformation initiative to replace legacy workflows and eliminate physical document waste across the agency.

- Increased operational productivity and ensured strict data integrity for state employees by delivering robust internal document manage

- Led the backend engineering team for dual health and government smart city initiatives, successfully rescuing delayed deliverables and completely clearing a massive project backlog within a tight timeframe.

- Accelerated team velocity and delivery efficiency by introducing and implementing structured Agile/Scrum methodologies across the engineering workflow.

- Architected and delivered core pl

- Directed a specialized, cross-functional engineering team to build a multi-platform application designed to provide actionable operational insights for brewery owners and enhance the consumer experience.\

- Architected the cross-platform mobile and backend infrastructure from the ground up using Python 3 and Kivy, implementing advanced software design patterns to ensure a highly flexible, exten

- Architected the mobile and backend infrastructure for a consumer-facing pet management application, engineering an internal framework that generalized core functionalities to accelerate feature delivery across the platform.

- Spearheaded seamless end-to-end integration across iOS, Android, and web server environments using Xamarin, C#, ASP.NET MVC 5, and Entity Framework.

- Operated as the pri

- Architected and implemented a computational decision-making neural network based on primate behavioral experiments, serving as the driving force behind all core architectural decisions and Python 3 development.

- Engineered complex simulations utilizing the Hodgkin-Huxley mathematical model and advanced numerical approximations to map and connect simulated neurons without spatial constraints.

- Architected and developed a comprehensive suite of 20+ digital psychological tests, successfully transitioning classical clinical assessments to digital platforms as the sole software engineer on a multi-disciplinary academic team.

- Directed all technical and architectural decisions utilizing VB.NET and VBScript, engineering digital testing frameworks that yielded measurable improvements in as

- Optimized client performance bottlenecks by successfully refactoring and modernizing legacy codebases, achieving massive execution speedups of up to 40x.

- Operated as the sole specialized consultant for a newly released Microsoft tool, rapidly mastering and deploying Microsoft Reporting Services to resolve complex enterprise data challenges.

- Delivered full-stack web applications utilizing C

Completed doctoral coursework and research focused on numerical simulations, finite element methods, and computational neuroscience. (Doctoral thesis unsubmitted)

Completed a 1-year doctoral research fellowship focused on computational neuroscience, mathematical modeling, and high-performance algorithms.

Issued Jan 2006 · Expired Jan 2007

Issued Jan 2005 · Expired Jan 2006