Fernando García-Redondo

Data Scientist

https://talent.gravityer.com/fernando-garcia-redondo

Find me at garciaredondo.com

Member since June 25, 2026

Key Strengths

Strong background in hardware-software co-design and simulation, particularly with memristor and MRAM technologies.
Proficiency in Python for scientific computing, simulation, and data analysis.
Experience with various hardware description languages (Verilog, SystemVerilog, VHDL) and related toolchains.
Demonstrated ability to work on complex, research-oriented projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on hardware design, VLSI, and low-level simulations, which deviates significantly from a typical Data Scientist role. While Python is used, the application areas are specialized and not directly aligned with common data science tasks like predictive modeling, machine learning pipelines, or big data processing. This indicates a potential mismatch with a standard Data Scientist position, suggesting a need for significant upskilling in core data science domains.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

verilator_bug

September 3, 2024 – September 3, 2024

verilator_bug — GitHub repository

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ml_memory_analyser

May 25, 2023 – May 17, 2023

Utilities to explore runtime memory usage of machine learning models

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mram_simulation_framework

June 23, 2021 – Present

MRAM magnetization simulation framework. s-LLGS python and verilog-a solvers for transients simulation and Fokker-planck equation solver for stochastic analysis

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coco_mcu

June 10, 2019 – June 19, 2019

Javier Fernández Marques & Fernando García Redondo proposal for Visual Wake Words Challenge@CVPR 2019

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rram_multilevel_driver

October 6, 2017 – September 6, 2018

Architecture for RRAM multilevel programming

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ddr_MIG_ctrl_interface

August 2, 2017 – August 3, 2017

ddr_MIG_ctrl_interface — GitHub repository

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vlsi_memristor_compact_model

May 9, 2016 – October 31, 2019

Physical memristor/RRAM/resistive switching device SPICE compact model, that is able to accurately fit both unipolar/bipolar devices settling to its current-voltage relationship.

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maf

April 29, 2016 – September 5, 2017

Memristor Application Framework

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circuit_reliability_framework

April 29, 2016 – July 4, 2017

Circuit Simulation Framework, reliability oriented

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FVM

June 21, 2013 – April 22, 2024

Finite volume method applied to the advection-diffusion equation

View Project

Key Strengths

Strong background in hardware-software co-design and simulation, particularly with memristor and MRAM technologies.
Proficiency in Python for scientific computing, simulation, and data analysis.
Experience with various hardware description languages (Verilog, SystemVerilog, VHDL) and related toolchains.
Demonstrated ability to work on complex, research-oriented projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Fernando García-Redondo

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit