Summary
Gabriel Kakizaki is a Senior Software and AI Engineer with eight years of experience building end-to-end ML systems, production APIs, and front-end integrations across startups, academia, and healthcare. He has shipped revenue-generating LLM-powered features for a leading LMS and improved model deployment and observability in Kubernetes and Azure, while mentoring new hires to quickly contribute. His background spans Python, FastAPI, TypeScript/React, Docker, and ML libraries (scikit-learn, XGBoost/LightGBM), and he has a track record of turning research prototypes into resilient services—such as an NLP pipeline that processed 500k+ complaints and a mortality prediction POC that beat clinical benchmarks. Comfortable in Linux-centric workflows and fluent in several languages including Go and even Clojure, he combines rigorous CS fundamentals with pragmatic engineering to reduce costs and accelerate delivery.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universidade Federal de Viçosa
English, Portuguese