Ivan Fernandez
Spain
Summary
👤
Senior🎓
Top SchoolIvan Fernandez is a PhD candidate and seasoned computer scientist with 9 years of experience designing ultra-low-latency and low-jitter systems for trading platforms, air traffic management, and high-performance scientific computing. He specializes in kernel-bypass networking, RDMA/Infiniband, and reliable datagram protocols, having implemented production middleware using Solarflare ef_vi, Onload tuning, and secure integration with Kerberos/LDAP. His background spans embedded systems, numerical simulation on supercomputers, and performance-driven architecture optimization across C/C++, Fortran, MPI/OpenMP, and ADA. Based in Spain and currently conducting postdoctoral research at the Barcelona Supercomputing Center, he blends deep research rigor with hands-on production engineering. A polyglot in human languages—fluent English, basic German, and studying Chinese to HSK4—he brings uncommon cross-disciplinary curiosity to system-level problems.
9 years of coding experience
17 years of employment as a software developer
Computer Engineer, Computer Architectures and high-performance networks, Computer Engineer, Computer Architectures and high-performance networks at Universidad de Castilla-La ManchaChinese , Chinese, Chinese , Chinese at Bunkyo Academy of languages at MadridIntensive Chinese course, Chinese, Intensive Chinese course, Chinese at Taiwan mandarine instituteConversation training course 20 hours, German, Conversation training course 20 hours, German at F+U Sprachschule, Heidelberg, Germany
Spanish, English, German, Chinese
Github Skills (21)
simulation10
simulator10
architecture10
risc-v10
open-source10
hbm10
x8610
arm10
modeling10
gem59
matrix-profile9
algorithm7
accelerator7
3d7
time-series5
Programming languages (4)
Github contributions (5)
ivanfv/gem5
Nov 2023 - Mar 2024
The official repository for the gem5 computer-system architecture simulator.
Contributions:115 pushes, 3 branches in 4 months
CMU-SAFARI/NATSA
May 2021 - Jun 2021
NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploits modern 3D-stacked High Bandwidth Memory (HBM) to enable efficient and fast matrix profile computation near memory. Described in ICCD 2020 by Fernandez et al. https://people.inf.ethz.ch/omutlu/pub/NATSA_time-series-analysis-near-data_iccd20.pdf
Contributions:29 commits, 1 push, 2 comments in 1 month
3dhbmmatrix-profiletime-seriesscrimp
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