Summary
Andrei Nakagawa is a Lead AI Engineer with a decade of experience building research-driven products that bridge neuroscience, embedded systems and generative AI. He has led engineering teams and roadmaps while designing and implementing architectures for LLM-powered assistants, RAG pipelines and vector search using Python, FastAPI, OpenAI API and Pinecone. His background spans academic research in tactile neuroengineering and spiking neural networks to industrial R&D of embedded sensors and Industry 4.0 systems, giving him a rare blend of hands-on firmware, signal-processing and ML expertise. Comfortable moving from problem formulation to production code, he favors simple, scientifically grounded solutions and proactive delivery in fast-paced environments. Based in Minas Gerais, Brazil, he continues to read and apply computational neuroscience insights—particularly around memory and sensory processing—to product design and novel ML approaches.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy, Biomedical Engineering / Tactile Sensors / Prosthetics, Doctor of Philosophy, Biomedical Engineering / Tactile Sensors / Prosthetics at Universidade Federal de Uberlândia - UFU
Portuguese, English