
Armando Biscontini

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About me
Staff Engineer at Qualcomm
Education

EPFL
2015 - 2015Exchange MSc Student Electrical and Electronics Engineering Final grade: 6/6MSc thesis pursued at the Integrated Systems Laboratory (LSI), directed by Professor Giovanni De Micheli.

Politecnico di Milano
2012 - 2016Master’s Degree Electrical and Electronics EngineeringSpecialization track: Electronic Systems Design.

Politecnico di Milano
2008 - 2012Bachelor’s Degree Electrical and Electronics EngineeringCourses are organized in a single comprehensive learning track.
Experience

Skyward Experimental Rocketry
Jun 2012 - Oct 2014Led the team responsible for the development of the electronic systems of Rocksanne I-X, first sounding rocket of the Rocksanne Program. The systems’ tasks were: (i) ignition of the solid rocket engine; (ii) logging and storage of physical quantities gathered from on-board sensors (accelerations, rotations, atmospheric pressures, temperatures) in order to estimate state and attitude of the aircraft; (iii) communications and geolocation; (iv) smart activation of deceleration and main parachutes. The rocket completed a total of 3 launch campaigns with no electrical failures and all the systems performing as expected. Show less
Head of Electronics Department
Oct 2012 - Oct 2014Integrated Project Team Leader - Electronic Systems Team
Jun 2012 - Jun 2014

Center of Micronanotechnology - EPFL
Mar 2015 - Aug 2015Cleanroom researcherDesigned and fabricated in cleanroom a RRAM array of 96 memory cells using Pt/HfO2/Ti/Pt technology. The process flow involved lithography, deposition (sputtering and ALD) and dry etching steps in order to define memory elements with 25 sq μm effective area (1 μm feature size).

Utah Nanofab
Feb 2016 - Aug 2016Cleanroom researcherContributed to the development of a process flow for the microfabrication of RRAM arrays with Pt/HfO2/TiO2/Pt technology.

University of Utah - Employment
Feb 2016 - Aug 2016ResearcherCarried out research in the resistive memories field with a focus on RRAM technology co-integration in the Back End of Line (BEoL) of 180nm CMOS process. In order to support the design of RRAM elements for ordinary cleanroom processes, Calibre and Cadence design-kits (DRC and LVS) have been successfully developed and tested.

Qualcomm
Apr 2017 - nowResearch interests:• Machine Learning applications to Electronic Design Automation• Optimization of silicon design methodology Engaged in the VLSI back-end methodology and EDA research aimed to optimize the design process and technology of latest silicon nodes. Involved in the physical design development of high-speed telecommunication modules for premium tier System-on-Chip platforms.
Staff Engineer
Dec 2022 - nowSenior Engineer
Nov 2018 - Dec 2022Engineer
Apr 2017 - Nov 2018
Licenses & Certifications
- View certificate

Convolutional Neural Networks
CourseraOct 2018 - View certificate

Deep Learning Specialization
CourseraDec 2018 - View certificate

Sequence Models
CourseraDec 2018 - View certificate

Structuring Machine Learning Projects
CourseraSept 2018 - View certificate

Machine Learning
CourseraJun 2018 
TOEIC
ETS Global B.V.
GRE
ETS Global B.V.Oct 2016- View certificate

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraSept 2018 - View certificate

Neural Networks and Deep Learning
CourseraJul 2018 
TOEFL
ETS Global B.V.Oct 2016
Languages
- itItalian
- enEnglish
- frFrench
- spSpanish
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