My name is Emiliano. I work on digital hardware: RTL design for integrated circuits, and hardware acceleration for machine learning. I like understanding how things work, and I like building technology that has a meaningful impact on the people who use it.
Right now I am pursuing my Master’s degree in Computer Engineering at USC as a Fulbright–García Robles grantee. My focus is processor architecture and the arithmetic underneath machine learning: designing efficient datapaths in Verilog, and pushing performance further with CUDA. Alongside my studies I work on the virtualization and storage team at Keck Medicine of USC, on a Nutanix estate spanning a datacenter and three hospitals.
I studied biomedical engineering at Tecnológico de Monterrey, graduated with honors as the highest GPA in my class, and my capstone project became a first-author article in IEEE Transactions on Neural Systems and Rehabilitation Engineering. After that I spent four years at PPD, part of Thermo Fisher Scientific, coordinating support for clinical trials under regulatory scrutiny, where I co-built an Excel/VBA tool that cut a manual reconciliation from over five hours to about thirty minutes, and ended up adopted across most of the company’s studies.
What I work on#
- Digital design and RTL. An ARM-compatible processor with a 5-stage pipeline and 4-way fine-grained multithreading, plus a SIMT GPU, both written in Verilog, synthesized, and tested on a NetFPGA board.
- Hardware for machine learning. A pipelined 16-bit MAC unit with full-custom layout in Cadence Virtuoso and DRC/LVS verification. Currently building a co-designed INT8 attention accelerator for the Arty Z7-20, from cycle-accurate C++ modeling and Verilog RTL through Zynq integration as a PyTorch operator.
- Infrastructure and home lab. An OpenMediaVault server based on Debian, running containerized services with Docker Compose and an NGINX reverse proxy with SSL and WebSocket support, on a multi-subnet mesh network routed with OpenWrt, plus a local inference server running on an NVIDIA GPU.
Education and recognition#
- M.S. Computer Engineering, University of Southern California (2025–2027) — Viterbi Endowment Scholarship
- Fulbright–García Robles Grant, COMEXUS
- B.S. Biomedical Engineering, Tecnológico de Monterrey — graduated with honors and highest GPA in the class
I am currently looking for full-time engineering roles for after I graduate in May 2027 so let’s get in touch.
See my projects