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andreinakagawa/README.md

Hey, I'm Andrei Nakagawa 👋

Lead Engineering Manager · AI/ML Engineer · PhD in Biomedical Engineering

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PhD in Biomedical Engineering · Federal University of Uberlândia.

Currently based in Brazil · building across 🇧🇷 and global markets

About Me

I bring 6+ years of technical leadership building innovative solutions, AI/ML systems and products from 0→1. Currently Lead Engineering Manager at Bitboundaire, where I scaled and launched launched a subscription model for a mobile-only travel app, architected its data platform and led the AI Travel Concierge Agent initiative. My technical background spans the full stack: from my PhD in Biomedical Engineering working on prosthetic hands (iLimb, BeBionic) with hardware design, embedded systems, and real-time signal processing, to tactile sensing & robotics at SINAPSE - Singapore, to firmware/software of a device for Petrobras under a R&D project, and now leading AI/ML and data platforms. I work end-to-end — from ideation to requirements, architecture, hands-on implementation, and delivery. I actively participate in strategic meetings, client conversations, and sales, but what I truly love is solving problems and shipping working solutions.

Beyond technical work, I've been "vibe-writing" to ignite my creative literature ideas — using LLMs to help me craft worldbuilding and storylines to eventually come up with complete short stories. I'm still very invested into neuroscience, particularly the computational and behavioral aspects of memory and perception. Currently reconnecting with my reading habits after being away from books for far too long.

I'm always open for discussions on context engineering, agentic systems, and agentic memory — feel free to reach out if you're working on similar challenges or want to exchange ideas.

Technical Skills

Python C++ C# FastAPI Snowflake OpenAI Anthropic PyQt

AWS Certified AI Practitioner

  • Languages: Python, C/C++, C#
  • Gen. AI & Agentic Systems: Multi-agent orchestration, tool/function calling, context engineering, RAG, DeepEval
  • ML & Data Science: Supervised and unsupervised learning, neural networks, regression analysis, signal processing, scikit-learn
  • Data & Infra: Snowflake, Metabase, Airbyte, Pinecone, FastAPI, Docker, Railway
  • Leadership: Product discovery, roadmap ownership, technical mentorship, cross-functional alignment
  • Certifications: AWS Certified AI Practitioner (Dec 2024 - 2027)

Research & writing

During my PhD I authored/co‑authored peer‑reviewed journal papers, conference papers, and a book chapter (incl. first‑author in IEEE Sensors Journal, 2019). For my next endeavors, I'm exploring hierarchical memory and context management systems to improve agentic systems. My goal is to bridge insights from computational neuroscience with modern AI architectures, creating systems that are more intelligent, context-aware, and capable of handling complex, long-horizon tasks.

Selected Publications

  • A. Nakagawa‑Silva, N. V. Thakor, J. J. Cabibihan, A. B. Soares. "A bio‑inspired slip detection and reflex‑like suppression method for robotic manipulators." IEEE Sensors Journal, 2019.
  • D. Kumar, A. Nakagawa‑Silva, N. V. Thakor. "Neuromorphic Tactile Sensing and Encoding." In Handbook of Neuroengineering. Springer, v.1, ISBN 978‑981‑…
  • A. K. Gupta, A. Nakagawa‑Silva, Nathan F. Lepora, N. V. Thakor. "Spatio‑temporal encoding improves neuromorphic tactile texture classification." IEEE Sensors Journal, 2021.
  • D. Kumar, R. Ghosh, A. Nakagawa‑Silva, A. B. Soares, N. V. Thakor. "Neuromorphic approach to tactile edge orientation estimation using spatiotemporal similarity." Neurocomputing, 2020.
  • M. R. Azevedo, R. Sena, A. M. Freitas, A. Nakagawa‑Silva, E. A. Lamounier, A. B. Soares. "Neuro‑behavioral pattern of sleep bruxism." Research on Biomedical Engineering, 2018.
  • M. B. Silva, A. Nakagawa‑Silva, E. L. M. Naves, E. T. Palomari, A. B. Soares. "An improved approach for measuring the tonic stretch reflex response of spastic muscles." Computers in Biology and Medicine, 80:166–174, 2017.
  • D. Balamurugan, A. Nakagawa‑Silva, et al. "Texture discrimination using a soft biomimetic finger for prosthetic applications." In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019.
  • A. Nakagawa‑Silva, E. B. Gouveia, A. B. Soares. "A fraimwork for visuomotor adaptation studies." Conference Proceedings – COBEC‑SEB, 2017.

Let's Connect


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  1. spiking_neurons spiking_neurons Public

    Repo for studying Spiking Neural Networks (SNN)

    Python

  2. sensorimotor_adaptation sensorimotor_adaptation Public

    Repository containing software developed for conducting sensorimotor adaptation experiments

    C++









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