Building and shipping products end to end
Rudolfo Neto
I help businesses move from idea to working software. Full-stack implementation, production deployment, multilingual systems, and ML-adjacent workflows — delivered as a single execution partner.
How I can help
Each engagement is scoped to ship working software — not slide decks, not open-ended consulting.
Full-stack development, from concept to live deployment. You bring the idea, I deliver production-ready software.
Add features, fix architecture, modernize the stack. Targeted interventions that ship without derailing what already works.
Structured data, localization workflows, and content management built for scale. Designed for products serving multiple markets.
Python pipelines, evaluation logic, applied ML. From data processing to model integration — production-grade, not notebooks.
Frontend, backend, testing, deployment, and iteration as one partner. One point of contact from first commit to live product.
Proof of delivery
Not portfolio pieces — shipped products with real users and production traffic.
Problem
Needed a production platform for structured language learning with multilingual content
Delivered
Full-stack vocabulary platform with 3,253+ dataset entries, quiz logic, and i18n — live in production
What this proves
End-to-end product delivery: data modeling, content structuring, UI, deployment, and iteration
Problem
Needed a web platform connecting students to internship opportunities across Brazil
Delivered
Full-stack SPA with user authentication, search, dashboards, and live deployment
What this proves
Full-stack web delivery with team coordination from design to deployment
Problem
Needed to collect, structure, and visualize job market data at scale
Delivered
Python scraping pipeline feeding a TypeScript dashboard — deployed and accessible
What this proves
End-to-end data pipeline from collection to interactive visualization
Problem
Required a secure client-server authentication system with TOTP-based two-factor auth
Delivered
Full auth server with TOTP 2FA, file management API, and Docker containerized deployment
What this proves
Security-focused backend development with containerized infrastructure
Problem
Needed a neural network implementation without external ML frameworks
Delivered
Complete neural network library using only NumPy — regression, classification, multiple optimizers and activation functions
What this proves
Low-level ML implementation and mathematical computing
Problem
Needed a time-tracking system with biometric authentication and real-time monitoring
Delivered
Embedded fingerprint device with C++ firmware and a mobile web dashboard in Next.js for clock-in management
What this proves
Full IoT delivery: hardware integration, firmware, and web interface
Why work with me
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Production delivery
Live deployments, not prototypes. fritzlernen.com is live.
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End-to-end execution
Frontend, backend, testing, deployment, and iteration as one partner.
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Multilingual systems
Built and shipped content in 3 languages with structured data.
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Technical breadth
Next.js, TypeScript, React, Node.js, Python, Docker, MongoDB, NumPy, C++.
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ML-adjacent capability
Python/NumPy neural networks, automated evaluation, data pipelines.
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Quality assurance
Jest, Playwright, pytest, stress-testing scripts, BDD flows.
Let's discuss your project
Tell me what you're building. I'll respond with whether I can help and what the first step looks like.