Engineering Engineer

Aiman Jabaren

San Diego, Ca, USA • adci77@r.postjobfree.com • +1-858-***-****

SUMMARY OF QUALIFICATION:

Broad experiences in engineering and research and development. Have worked on problem solving in different fields of engineering, mainly: Machine Learning, signal & image processing and computer vision projects at university labs, SoC and ethernet controller R&D projects in the high-tech industry, and other engineering projects in incubator environments and Hackathons.

EDUCATION:

UNIVERSITY OF CALIFORNIA SAN DIEGO — San Diego, CA, USA Master of Science in Electrical and Computer Engineering 2018 -5/2020

• Fulbright scholar

• Thesis: Tennis Serves Videos Classification using Machine Learning MiniMBA – Rady School of Management 2019

TECHNION — ISRAEL INSTITUTE OF TECHNOLOGY — Haifa, Israel Bachelor of Science in Electrical Engineering 2012 -2016 Bachelor of Science in Bio-Medical Engineering 2010 -2015

• Won Technion Merit Scholarship, earned Dean's List Award and David Friedmans’ Fund LTD Merit Scholarship EXPERIENCE:

UNIVERSITY OF CALIFORNIA SAN DIEGO — San Diego, CA, USA Teaching Assistant

• Orchestrated Digital Signal Processing discussions and analyzed students’ performance 2019-present Research at the Video Processing Lab 11/2018-present

• Develop Tennis shots classifier using machine learning

• Extract human joints coordinates using ML and different LSTM architectures for joints series classification

• Led and coordinated dataset collection team

• Outperformed state of the art image dehazing U-net Neural Network through multi-level Wavelet Filterbank feature extraction

INTEL CORPORATION, INC Haifa, Israel

Architecture Verification Engineer 2015-2018

• Independently research chip design, architecture; led test plans; coded, ran tests; verified full coverage

• Chart path for fixing bugs before production

• Initiate tests and optimize test performance, running time, thus freeing server slots TECHNION — ISRAEL INSTITUTE OF TECHNOLOGY — Haifa, Israel Partnership with GE (General Electric) and Technion Institute of Technology BSc Thesis: Physiological Model Based Image Analysis of Doppler Ultrasound Velocity Profiles 2014-2015

• Carried out and defined interdisciplinary team project between Technion and GE to be a basis for future GE projects

• Enhanced a current cardiovascular computer-based algorithm output precision by introducing physiological and patient specific data inferred by image processing methods from different modes of Ultrasound data acquisition Neural Interface Engineering Laboratory, Bio-Medical Engineering Faculty, Technion

• Set up new optical 3D microscopic system to be used for neural research and development

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2012-2013

SKILLS:

Machine learning Python Digital Signal Processing Matlab Image Processing Keras Verification Deep Learning LSTM Wavelets Filterbanks Linux System Verilog Pytorch Git Computer Vision CNN Specman e C Medical Imaging Scikit-Learn Algorithms ADDITIONAL ACCOMPLISHMENTS:

•Class Projects: Multi Object Detection, Image Denoising Using CNNs, Image Captioning

•Participated and built projects in several conferences: 3DS, Bronica Entrepreneurship Center, Technion, Makeathon conference, Biztec Incubator Challenge, etc.

•Got 2nd place developing a project creating a stabilizing glove for ET patients at Hacking Health: 3-Day Startup Conference, School of Medicine, Technion

2014-2016

•Research Science Institute Program - MIT, Cambridge, MA 11/2013

•Research assistant at Visual Attention Lab - Harvard Medical School and Brigham and Women’s Hospital, Cambridge, USA

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