Summary
Lucas Brasilino is a Senior Advisor with 14 years of experience specializing in scalable AI/ML and High-Performance Computing, currently enabling domain scientists at Eli Lilly to run large-model training and GPU-accelerated workloads efficiently. He combines deep academic credentials—a PhD in Computer Engineering (3.98/4.0)—with hands-on expertise in distributed training strategies (DDP, FSDP, pipeline parallelism), SLURM-based HPC orchestration, and model profiling tools like NVIDIA Nsight and TensorBoard. His background includes FPGA and runtime integration research at PNNL, reflecting a rare blend of hardware-aware optimization and production ML pipeline design. Lucas is also experienced in coaching cross-functional scientific teams and integrating models into diverse frontends, making him as comfortable mentoring researchers as tuning multi-node training jobs. Based in Bloomington, Indiana, he brings a pragmatic focus on performance tuning and accessibility that helps translate advanced computing into real-world scientific impact.
14 years of coding experience
10 years of employment as a software developer
Specialization in Linux Network Administration, Computer Systems Networking and Telecommunications, Specialization in Linux Network Administration, Computer Systems Networking and Telecommunications at Universidade Federal de Lavras
Doctor of Philosophy - PhD, Computer Engineering, 3.98/4.0, Doctor of Philosophy - PhD, Computer Engineering, 3.98/4.0 at Indiana University Bloomington
Master of Computer Science - MSc, Computer Systems Networking and Telecommunications, Master of Computer Science - MSc, Computer Systems Networking and Telecommunications at Universidade Federal de Pernambuco
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Polytechnic School of Pernambuco/Paulista University