Summary
Kevin Weitgenant is an indie full-stack developer with nine years of experience building AI-powered web apps, currently developing VideoLearnAI to transform YouTube content into interactive learning experiences. He designs and ships the entire stack solo—from Next.js/Tailwind frontends to FastAPI backends, Supabase databases, and serverless GPU-hosted NLP models—integrating OpenAI, Deepgram, and LangGraph for richer video understanding. His product-focused engineering blends applied LLM work (automatic chaptering, NLP paragraphing, AI chat) with practical SaaS concerns like Stripe billing and scalable deployment on GCP. Kevin has academic roots in computer engineering from Universidade Federal de Pelotas and has applied those skills in university projects that supported teachers’ workflows. He publishes weekly public progress updates and tutorials, reflecting an indie-hacker spirit and strong emphasis on community learning. An approachable maker, he pairs deep technical fluency with a sensible eye for usability and learning outcomes.
9 years of coding experience
Computer Engineering, Computer Engineering at Universidade Federal de Pelotas