I transitioned from routing packets across global networks to routing logic through Neural Networks and LLMs. I build autonomous, end-to-end AI systems where solid backend architecture meets cutting-edge machine learning.
🎓 Incoming AI Diploma Student at PUC (Pontificia Universidad Católica de Chile) Focusing on what the industry actually demands: Transformers & LLMs (GPT/BERT), Deep Learning (PyTorch), Computer Vision, and API/Open-Source Deployment for real-world solutions.
I build projects that operate in the real world, not just tutorials. My current main focus is:
Fully Automated AI YouTube Studio & Content Pipeline
- Architecture: Designed a 24/7 daemonized pipeline in Python that autonomously generates, renders, and streams audio/video content.
- AI Integration: Deeply integrated the Gemini API and LangChain for programmatic content generation, dynamic prompt engineering, and SEO metadata creation.
- Infrastructure: Built a robust web dashboard and backend using Next.js, Vercel, and Supabase (PostgreSQL) for state management and user interaction.
- Focus: Emphasized error handling, autonomous recovery, and API rate-limit management.
IT Department AI Knowledge Base & Document Processor
- Engine: Built an Intelligent RAG system leveraging Supabase (pgvector) and Gemini 1.5 Flash for high-speed document processing.
- Innovation: Designed an AI-driven "Noise-to-Action" layer that transforms disorganized documents and fragmented Teams chat exports into structured, concise technical documentation for IT staff.
- Stack: Deployed on Vercel as a full-stack solution, focusing on reducing information silos and improving internal troubleshooting speeds.
- Result: Converted raw technical "chatter" into high-fidelity knowledge base entries, saving hours of manual documentation.
With 4 years of experience as a Senior IT Engineer at Hapag-Lloyd (a top-tier global shipping multinational), I bring a proven track record of managing enterprise-scale infrastructure, collaborating across global teams, and handling mission-critical systems.
I am now looking to leverage this robust corporate engineering background into the AI space. I am seeking:
- ⚙️ AI Integration / Machine Learning Engineer roles where I can bridge the gap between complex enterprise architecture and advanced AI solutions.
- 🤝 Forward-thinking multinational teams that value scalable system design, rigorous execution, and the transformative power of MLOps and LLMs.