Sr. Deep Learning & Computer Vision Algorithm Engineer at NVIDIA
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M.Sc. in Machine Learning, fields of knowledge: - Artificial Neural Networks specifically in Deep Learning paradigm (DBNs,RBMs, DNNs). - Convolutional Neural Networks and its application in Computer Vision. - Thorough knowledge in Hidden Markov Models and its application in Speech Recognition. Specially the combined architecture of a Hidden Markov Model with Artificial Neural Network (HMM/ANN). - Support Vector Machines and its usefulness in classifying problems. - Statistical inference, Bayes classification.
KTH Royal Institute of Technology
Master of Science (M.Sc.), Machine Learning
January 1, 2012 – January 1, 2014
Universitat Politècnica de València (UPV)
Computer Science Engineer, Computer Science (5 years career)
January 1, 2007 – January 1, 2012
NVIDIA
Engineering Manager @ Perception for Autonomous Vehicles
September 1, 2020 – Present
NVIDIA
Senior Deep Learning Software Engineer
December 1, 2016 – September 1, 2020
NVIDIA
Deep Learning & Computer Vision Engineer
April 1, 2016 – November 1, 2016
HARMAN International
Computer Vision and Deep Learning Algorithm Developer
April 1, 2015 – March 1, 2016
Tel Aviv, Israel
Watty
Algorithm Developer
April 1, 2013 – August 1, 2013
Greater Stockholm Metropolitan Area
A critical examination of deep learning approaches to automated speech recognition
June 1, 2013 – October 1, 2013
Master Thesis
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Deep Learning, Computer Vision, and Autonomous Vehicles, primarily within a research and development context at large tech companies. While the 'Algorithm Developer' role at Watty involved machine learning for statistical inference on energy consumption data, the overall profile is more aligned with a Machine Learning Engineer or Research Scientist role rather than a pure Data Analyst. The target role 'Data Analyst' seems to be a significant mismatch with the candidate's deep technical and research-oriented background. The project diversity is limited to a Master's thesis on speech recognition, further emphasizing a specialized research focus.
Soft Skills & Operational Fit
The candidate's career progression to Engineering Manager at NVIDIA suggests strong leadership, project management, and potentially team collaboration skills. The descriptions of developing and leading cutting-edge algorithms imply problem-solving and innovation. However, specific soft skill assessments are not available in the provided data.