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Senior Deep Learning Engineer at Intel Corporation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Università di Pisa
Master's degree, Electronics Engineering
January 1, 2012 – January 1, 2014
Università di Pisa
Bachelor's degree, Electronics Engineering
January 1, 2009 – January 1, 2012
Intel Corporation
Staff Deep Learning Engineer
February 1, 2020 – Present
Intel Corporation
Machine Learning Engineer - 1y Relocation
September 1, 2018 – August 1, 2019
Intel Corporation
Machine Learning Engineer
January 1, 2018 – January 1, 2020
Intel Corporation
Deep Learning Intern
July 1, 2017 – December 1, 2017
University of Pisa
PhD Student
November 1, 2014 – November 1, 2017
Pisa, Tuscany, Italy
STMicroelectronics
Embedded System Engineer
April 1, 2014 – November 1, 2014
Agrate Brianza (MB)
Dialog Semiconductor
Application Engineer
July 1, 2013 – September 1, 2013
University of Pisa
Studente
September 1, 2009 – September 1, 2014
Digital Synth
June 1, 2014 – Present
Design of a digital synth using Nios II CPU inside Altera Cyclone II FPGA. Project has also an LCD touch screen as user interface
Guitar Effect
October 1, 2013 – December 1, 2013
Design of a digital guitar effects (Tremolo, Chorus , Delay, Echo, Distortion) on Altera Cyclone II FPGA. The user interface is a Labview VI connected to FPGA via RS232.
Fish Eye Correction
June 1, 2013 – September 1, 2013
Design of a digital module that implements the correction of Fish-Eye Distortion effect in a video frame in VHDL using Active HDL and Mentor ModelSim.
Embedded Video Systems for Driving Assistance
July 1, 2012 – Present
Analysis of embedded Hardware/Software architecture for Traffic Signs Recognition. Software design and implementation using Matlab.
Cultural Fit Analysis
The candidate's background is heavily focused on embedded systems, hardware, and deep learning, which is a significant deviation from a typical Data Analyst role. While there's strong technical depth, the projects and professional experience do not directly align with common data analyst responsibilities such as data manipulation, statistical analysis, business intelligence, or specific data visualization tools. The cultural fit for a pure Data Analyst role appears low due to this specialization mismatch.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a hands-on approach to complex technical challenges. The progression through roles at Intel suggests dedication and growth within a large organization. However, without specific details on collaboration or communication within teams, it's difficult to fully assess soft skills and operational fit beyond technical aptitude.