Industries

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Healthcare	Experience in developing AI systems to improve various operations in healthcare.
Government	Experience in working with various government departments to identify use cases where AI can help improve the business and operations.
Startup Ecosystem	Experience in working with various startups to integrate AI technology into their ideas and operations.

Tools

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Specializations

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Feature Engineering

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Deep Learning

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Machine Learning

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Data Science

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Development

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Python

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Cloud Development

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Flask/ Bootstrap Applications

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Javascript/ NodeJs

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Full Stack

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DevOps

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Hardware

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Internet of Things

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Arduino

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FPGA

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Assembly

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Soft Skills

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Training

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Word, PowerPoint, Excel

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Presentation

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Design Thinking

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UI/ UX Design

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Project Management (Agile)

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Languages

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Arabic	Mother Language, fluent in reading and writing
English	Fluent in reading and writing
French	Capable of holding a simple conversation

Certifications

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Certified Data Scientist

IBM/ OpenGroup, May 2019

OpenGroup certified L1 Data Scientist

IBM Professional Data Science Specialization

IBM/ Coursera, March 2019

Certification number 24S3T2PP5KFY

Deep Learning Specialization

deeplearning.ai/ Coursera, April 2018

Certification number F4KG2LLR6JBE

Certified Application Developer - Watson

IBM, December 2017

Certified Application Developer - Cloud Platform

IBM, August 2017

International Computer Driving Licence (ICDL)

ICDL Arabia, April 2013

Arabia License GCC 110 360318

IT Essentials: PC Hardware and Software

Cisco, May 2013

Diplome D'Etude En Langue Franciase (DELF B2)

Centre international d'études pédagogiques (CIEP), September 2011

License 971012-201105S-1327183

Talks

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Arab AI Summit 2019

Dead Sea, Jordan, October 29-30, 2019

Delivered a talk on how to derive value from data using AI and a hands-on workshop on AutoAI, a tool which allows developing, deploying, and managing machine learning models without code.

Xpand Conference

Amman, Jordan, April 12-13, 2019

Delivered a talk on AI and machine learning methodology and platform for middle to senior level technical leaders.

Jordan Digital Transformation Forum 2018

Amman, Jordan, April 5, 2019

Contributed to a panel discussion on the importance of data strategy, governance, and quality in machine learning.

Dubai Data Science Meetup

Dubai, UAE, December 1, 2018

Delivered a technical session to data science professionals and enthusiasts on model explainability.

AI Summer Camp

Dubai, Jordan, June 27, 2018 and July 16, 2018

Delivered two sessions on data science and deep learning to high school and university students.

Publications

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Patents

Submitted two disclosures on protecting deep learning models.

Submitted one disclosure on deep learning and UI/UX design.

Conferences

Lutfi, A., Fasciani, S. (2017, August) Towards Automated Optimization of Web Interfaces and Application in E-commerce, 2017 International Conference on Computer Application (pp. 79-84), IEEE

Lutfi, A., Saidi, F., & Watfa, M. (2016, August). A ubiquitous smart educational system: Paving the way for big educational data. In Innovative Computing Technology (INTECH), 2016 Sixth International Conference on (pp. 233-238). IEEE.

Todd, C., Watfa, M., El Mouden, Y., Sahir, S., Ali, A., Niavarani, A., Lutfi, A., Copiaco, A., Agarwal, V., Afsari, K., Johnathon, C., Okafor, O. and Ayad, M. (2015) A Proposed UAV for Indoor Patient Care, International Multi-Conference on Engineering and Technology Innovation, IMETI2015, Kaohsiung, Taiwan, Oct 30-Nov 3 2015.

Journals

Todd, C., A., Watfa, M., Lutfi, A., Copiaco, A., Agarwal, V., Afsari, K., Johnathon, C., Okafor, O. and Ayad, M. (2015) Towards an Autonomous, Unmanned Aerial Vehicle for Indoor Flight in Healthcare; a Review of Research Challenges and Approaches, International Journal of Emerging Technology and Advanced Engineering, vol 5(8), pp. 21-28.

Todd, C., Watfa, M., Stephens, M., Lutfi, A., Copiaco, A., Agarwal, V., Afsari, K., Johnathon, C., Okafor, O. and Ayad, M. (2015) Towards a UAV that Provides Triage Assessment for Chronic Illness in a GPS-Denied Environment, International Journal of Robotics and Automation Technology, vol 2(2), pp.73-86.