Daniel L.

🚀 About Me I’m Daniel Lizarazo, AI & Backend Engineer with hands-on experience building, deploying, and maintaining production-grade intelligent systems. My work focuses on transforming machine learning models into reliable, scalable, and efficient solutions that operate in real-world environments. I specialize in end-to-end AI system development, combining applied machine learning, backend engineering, and cloud infrastructure to support complex, AI-driven workflows. 💡 What I Do • Design and develop scalable APIs and backend services for data- and AI-intensive systems • Integrate machine learning and LLM-based components into production pipelines • Build modular execution engines with hierarchical dependencies and parallel execution • Develop and deploy MVPs, including preprocessing, feature extraction, and ML-based analysis • Optimize system performance across CPU, memory, latency, and AI token usage • Deploy, maintain, and operate cloud-based environments, including GCP • Ensure long-term maintainability, reliability, and performance of production codebases 🧠 Domain Experience • Applied machine learning in production environments • AI systems supporting complex decision-making pipelines • EEG and biomedical signal analysis for neuroscience-related applications • Backend architectures designed for scalability and continuous iteration 🌍 Languages Spanish — Native English — B2 (Intermediate–Advanced) 📞 How I Can Help • End-to-end AI system development • Backend architecture and optimization for ML-driven products • Cloud deployment and infrastructure maintenance • EEG signal analysis and neuroscience-focused AI solutions