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Clarity

Nicholas Ferraz de Oliveira

Senior Software Engineer with 9+ years building production systems in Python, FastAPI, GCP, AWS, MongoDB, and Docker. Currently own an end-to-end clinical prediction platform at a healthcare AI startup with real patients, real PHI, real compliance stakes.

I architect HIPAA-compliant systems daily, not in theory. I've navigated the full stack of healthcare software challenges: data pipelines for clinical predictions, PHI handling, cloud infrastructure on GCP, and audit-ready architecture.

I also run my own LLC building Shopify apps, so I understand both the engineering and business side of technical decisions.

Call me if you're building health-tech and need architecture that survives a compliance audit, choosing between cloud platforms or frameworks for a Python-based system, a non-technical founder evaluating your team's technical decisions, or stuck on a GCP/FastAPI/MongoDB problem you need solved now.

Direct answers, no filler. You leave with a clear next step.

$2.50/min

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Python Programming Consulting Python Healthcare IT Cloud Applications Software Design System Architecture Healthcare Information Technology Databases Healthcare Consulting

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How to Build HIPAA-Compliant Healthcare Software That Passes Audits

I build and maintain a clinical AI platform that handles real patient health information (PHI) in production every day. I can walk you through the architecture decisions that make or break HIPAA compliance, such as data encryption, access controls, audit logging, BAAs with cloud providers, and the infrastructure patterns that keep you safe. Whether you're a founder building your first health-tech product or a CTO preparing for a compliance audit, I'll tell you exactly what you need and what you can skip. No legal fluff; just engineering reality from someone who lives it.
Topics: HIPAA, Healthcare, Software Architecture, Compliance, Startups

Designing Scalable Python APIs With FastAPI for Production Systems

I've spent 9+ years building production Python systems and currently own a FastAPI-based clinical prediction platform on GCP. I can help you make the right calls on API design, async patterns, dependency injection, authentication, database integration (MongoDB, PostgreSQL), and deployment via Docker and Cloud Run. If you're choosing between Flask, Django, and FastAPI, or already on FastAPI and hitting scaling walls, I'll get you unstuck fast.

Topics: Python, API, Software Architecture, Backend Development, Cloud Computing

Building AI-Powered Clinical Prediction Systems That Actually Ship

I own a clinical prediction platform that serves real healthcare providers making real patient decisions. I can advise on the full lifecycle: training clinical models, integrating predictions into provider workflows, handling PHI in ML pipelines, and navigating the gap between a research prototype and a production system. If you're building AI for healthcare and wondering how to go from notebook to deployed product, I've done it and can shortcut months of trial and error.

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Member since March 2026