Felipe Adachi is a Principal AI Engineer with eight years of experience building LLM safety, ML observability, and data-quality solutions, currently shipping generative AI for clinical decision support at Descomplica Medicina. He blends research-grade rigor from a master’s thesis on fault detection in unmanned systems with hands-on MLOps and security engineering—designing CI/CD, encryption, audit logging, and scalable AWS/Fly.io infrastructures. At WhyLabs he drove core LLM security features (prompt injection, hallucination and toxicity detection), contributed to open-source tooling like LangKit, and implemented offline/ONNX model support for safer deployments. Comfortable across NLP, vector search, drift detection and production pipelines, he also communicates complex ideas as a frequent technical writer and conference speaker. A less obvious strength: his early engineering career at sea and in hardware R&D gives him uncommon operational discipline when hardening ML systems for reliability and compliance.
8 years of coding experience
8 years of employment as a software developer
Masters, Electrical and Electronics Engineering, Masters, Electrical and Electronics Engineering at Federal University of Santa Catarina
University of São Paulo
Oficial de Máquinas, Oficial de Máquinas at CIAGA - Centro de Instrução Almirante Graça Aranha
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Felipe Adachi - Principal AI Engineer at Descomplica Medicina