I turn AI ideas into investor-ready, production-grade products.
Rafael Fischer, PhD
AI Software Engineer
For founders and early-stage teams who need more than demos. I design and build real systems that scale, survive scrutiny, and support real business growth.
This is for you if
You have a validated idea, users, or investor pressure to ship something real
You care about architecture, security, and long-term maintainability
You want a technical partner, not just someone who “builds what you ask”
You are willing to pay to move fast without creating technical debt
This is not for you if
You just want a quick demo to show friends or post on Twitter
You are experimenting with no budget or timeline
You believe tools and prompts replace engineering and product thinking
You are looking for the cheapest possible option
Why most AI products fail after the first real users
Can’t handle real usage
Works for a demo, but slows down or breaks as soon as more than a handful of users and real traffic hit the system.
Security gaps surface
Once real data enters the product, missing access control, logging, and privacy protections become real business risks.
Architecture doesn’t scale
Early technical shortcuts turn into blockers when you try to add features, onboard teams, or grow infrastructure.
No clear technical story
When investors or clients ask about reliability, data flow, and system design, the answers aren’t confident or consistent.
Fast, focused, and production-first
Business-first technical framing
I define what must work for real users and real revenue, then use AI-assisted analysis to surface risks, edge cases, and system boundaries in days, not weeks.
Architecture before code
I design a lightweight, scalable system blueprint and use AI to explore alternatives and stress-test decisions before production code locks them in.
Production-grade AI, not prototypes
Models, pipelines, monitoring, and fallbacks are built alongside the product, with AI accelerating setup, testing, and iteration from day one.
Build, ship, stress-test
Short, aggressive build cycles powered by AI-assisted development, automated checks, and real-user feedback to catch failures early.
About me
I am a software engineer and researcher with over 10 years of hands-on experience in software architecture, engineering, and AI-driven products.
My goal is to simplify complex technical topics, prioritizing value and clarity. I believe in understanding trade-offs, mastering the fundamentals, and growing with more maturity and clear thinking.
I enjoy sharing what I know in a practical way, helping developers who are already past the basics to keep evolving with greater maturity and clarity.