Brian Greenforest Email & Phone Number

Renton, Washington, United States

Seattle, Washington, United States

Silicon chip design (Training/Inference) implementing in SystemVerilog Online ML Backpropagation SGD with Momentum for automated Neural Architecture Search (NAS) on scalable FPGA fabric. Developed a novel Verilog and 130 nm GDSII triple bfloat16 FMA IP. Designed hardware for scalable parallel fully pipelined LLM (ORCA-style Continuous Batching) chat client request handler on an array of Xilinx FPGA. Developed a modular direct ASIC packaging on polyimide flex printed circuit board for cloud fabric deployment.Applications include LLM and Physics-Informed Nonlinear Neural Networks for Quantum Model Predictive Control with Continuous Online Learning.Other IP developed in the area of Parallel Scalable Data Center Compute Chip Design optimizing for interconnect latency, SerDes power consumption, reconfiguration flexibility, and software and hardware re-engineering labor cost, allowing to redeploy and tweak models in production with A/B testing and fine-tuning of activation functions saving months of researchers time and performing ahead of competition.

Tempe, Arizona, United States

Arizona State University's Cloud API Node.js-AWS Developer.* Completed a challenging data migration project, utilizing AWS and microslice full-stack mindset.* Helped rescue and modernize Arizona State University's video library with expert AWS and Node.js skills.* Led an API implementation and full-text search research for the data migration project using cutting-edge technologies.

Seattle, Washington, United States

(Scalable Computing Researcher and Consultant. IP Holding Company.)Are you tired of constantly re-architecting your distributed systems to keep up with new technologies and workloads? As a scalable computing researcher and consultant, I specialize in developing innovative solutions that can help you overcome the von Neumann bottleneck and enable infinitely scalable instruction flow homogeneity over distributed compute nodes.Using my expertise in reactive programming, FPGA design, and distributed information system architecture, I've developed a working solution that uses an infinitely scalable array of FPGAs with a special non-centralized uniform control overlay. This approach allows the same simple cell to be used everywhere as part of massively distributed compute, resulting in improved efficiency, scalability, and flexibility.In addition to my work on scalable computing, I've also conducted research on self-moving reprogrammable micromodules with various applications, including massive parallel compute, dynamic defense force fields, functional shapes, modular robotics, and "Iron Man and Spiderman nanosuits."If you're looking for a consultant who can help you develop scalable and efficient systems that can adapt to changing workloads and technologies, I'm here to help. Let's explore how my expertise can benefit your business.

Seattle, Washington, United States

Developed full-stack applications. Supported AWS and Digital Ocean infrastructure of client web sites.

San Jose, California, United States

Client API and Cache C++ Developer.Worked remotely in a distributed team (San Jose / Suzhou) on Zoom Client core UI and Networking cross-platform library (C++.)* Oversaw successful code ownership transfer to enhance security and trust for government contractor companies.* Implemented new functionality in cross-platform Zoom Chat client C++ library, boosting performance and user experience.* Served as Scrum Master for the distributed team, optimizing continuous integration and collaboration across time zones.

Redmond, Washington, United States

Built an eCommerce web application for ordering digital codes:https://publisher.nintendo.com/* Architected, developed, and deployed a React-based web portal for Nintendo with AWS, streamlining digital code purchasing.* Engineered seamless functionality and user experience with comprehensive component design and API flow development.* Empowered Nintendo's engineers with microservices and microfrontends expertise, unlocking greater scalability and maintainability.