Bachelors and Masters in Computer Science & Engineering by University of Zaragoza. Passionate about technology.
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heterogeneous-slambench
July 13, 2017 – September 20, 2018
Optimization of SLAMBench workload (KinectFusion) for a heterogeneous system CPU-GPU-FPGA using OpenCL. Mainly focused on Altera FPGAs.
View Projectwifi-traffic-analytics
June 11, 2017 – December 9, 2018
Analysing the impact on connectivity (RSSI, packet loss, inter arrival time and packet delivery rate) of a real-time application during a WiFi handoff
View ProjectOpenCL-multidevice-test
March 31, 2017 – December 9, 2018
Setup and test devices from different manufacturers in a single OpenCL environment
View Projectreinforcement-learning
March 20, 2017 – December 9, 2018
Reinforcement learning using 100% and 90% exploitation, Q-learning
View ProjectHeterogeniuses
February 25, 2017 – October 7, 2018
Optimization of K-means algorithm targetting a CPU-(2x)GPU-FPGA system with CUDA, OpenCL and OpenMP.
View Projectsdn_load_balancer
January 28, 2017 – December 9, 2018
SDN Load Balancer using POX controller, which can be configured to use Round Robin or random scheduling methods.
View Projectjacobi-mpi
December 30, 2016 – December 9, 2018
Distributed and multithreaded implementation (OpenMPI and OpenMP) of a thermal transmission simulation in 2D space by using the Jacobi method
View ProjectKalmanFilter-PeopleTracker
November 11, 2016 – December 9, 2018
An implementation of the Kalman Filter with a HOG detector to track people.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards complex technical challenges, particularly in optimization and parallel computing. The diversity of projects, from SDN to reinforcement learning and image processing, indicates a broad technical curiosity. However, the projects are predominantly personal and academic in nature, with no explicit team-based or industry experience mentioned. This might suggest a preference for individual contribution over collaborative environments, which would need further validation for cultural fit in a team-oriented role. The target role 'Data Scientist' aligns with several project themes (reinforcement learning, Kalman filter, analytics), but the depth of experience in core data science methodologies (e.g., advanced statistical modeling, machine learning pipelines, big data technologies) is not explicitly detailed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style.