The document provides details about Mohamed Ahmed Rashad's professional experience, technical skills, education, and projects. It summarizes his experience as a software engineer and architect working on distributed systems, machine learning, and computer vision projects for companies like Nokia Networks and Digified. It also lists some of his personal projects involving robotics, programming languages, and more. His technical skills include languages like Python, C++, and Ruby as well as machine learning frameworks, computer vision, and various engineering tools.

1. Mohamed Ahmed Rashad
Phone : (+20) 01159700106 | mrashad74@gmail.com | Website : mrashad.tk | Github/Gitlab : @MohammedRashad
Fields & Industries of Interest
Fields :
– Software Engineering & Architecture, Distributed Systems, Systems Engineering, DevOps, Web Development.
– Artificial Intelligence, Data Science, Machine/Deep Learning, NLP, Computer Vision, Data Engineering.
– DSP, Embedded Systems, Scientific Programming, Mathematical Modelling & Applied Mathematics.
Industries :
Financial Technology (FinTech) – Supply Chain – Industry 4.0 (Digital Fabrication & Automation)
Job Experience
Most of my work is open-source and can be found in my Github account, except proprietary software.
Most of my experience is part-time or project-based, to fit with college schedule.
Full-Time / Part-Time :
 June 2019 : Present Software Engineer Nokia Networks
 November 2018 : Present Software Architect Digified
 July 2018 : Jan 2019 Machine Learning Engineer DevisionX
 July 2018 : Jan 2019 Software Developer Hadath GIE
 July 2016 : Jan 2018 Software Developer Aurora Solutions
 February 2014 : July 2017 Software Developer Pi Developers
Project-based :
 October 2017 : July 2018 Embedded Software Engineer DevisionX
 August 2017 : Jan 2018 Software Developer EPC Academy
 July 2015 : July 2016 Freelance Software Developer Self-Employed
Non-Technical :
 Aug 2016 : Present Co-Founder, Manager Fab Lab Ismailia
Major Projects
Most of the projects are available on my Github with dates of contribution and detailed documentation , the
others are proprietary. Other projects exist, but they are of less significance or don’t show a unique skill.
Nokia Networks :
 Ticketing System for telecommunication sites management & issue monitoring
 Reporting & Analytics Tool for Telecommunication Subscriber Data Management (SDM) Software
 End-to-End Distributed Dashboard, ETL & Analytics Solution For Elastic Search Error Logs Analysis
Digified :
 End-to-End Anti-spoofing & Liveness Detection Solution for On-boarding & Identity Verification
 Digified-CI, a tailored CI/CD Solution, for large scale distributed computer vision applications.
 End-to-End Arabic OCR Solution for official & government documents
 End-to-End Face Recognition and Verification Solution
Lyra Analytics :
 End-to-End Time-Series Forecasting & Analysis Solution for Retail Sales
 End-to-End Dashboard & Predictive Sales Analytics Solution for Textiles Factory
 End-to-End Patient Count Prediction & Inventory Consumption Forecasting for Hospitals
Aurora Solutions :
 Odoo REST API to interface with Sales and Customers Modules (Aurora Solutions)
 iPharma – Android Application for pharmacies medicine ordering (Aurora Solutions)
 Citadel Tours, Wordpress website to book and search for best tours (Aurora Solutions)
Pi Developers :
 Pi Locker, Gesture Lockscreen for android
 Socials Addict, Social Network Addiction Monitor / Digital Wellbeing Application
Personal Projects & Expirements :
 8-bit processor from scratch using logic gates (Personal Project)
 CopyMyTab – Window/Tab management Chrome extension (Personal Project)
 Donne – Blood Donors Social Platform to request and donate blood (Personal Project)
 Simplex – a LISP-Like Interpreted Programming Language, Built with C (Personal Project)
 RoboX – Desktop tool for controlling various robots over Joystick or Mobile (Personal Project)
 Brainf*** interpreter – a C++ Interpreter for an esoteric programming language (Personal Project)
University Projects :
 Arrhythmia Detector with Deep Learning & Machine Learning
 Z80 Microprocessor Emulation Library for Arduino/Atmega328
 MATLAB & FPGA Hybrid Speech Recognition using FFT & Hamming Distance
Extra-curricular & Engineering Teams :
 IEEE SCU Website (IEEE SCU SB)
 ROV Competition Playgrounds (ROV Regional Competition)
 Hydra ROV – Underwater Robot Wireless-Controlled with Android Application (Admiral)
 Coyote UGV – Large Size Ground Robot Wireless-Controlled with Android Application (Gunners)

2. Honors and Prizes
MATE ROV Regional Competition :
 April 2017/2018/2019, Technical Support Team Award.
 April 2018, Community Partner Award (IEEE SCU).
 May 2016, No Pain No Gain.
Others :
 May 2016, Best Website in Region 8, IEEE Website Contest.
 July 2016, Golden Medal of Innovation, MTI UGV Competition.
Engineering Teams (Competitions)
From November 2015 to May 2018, I participated in multiple engineering teams in my college to build robots and
electric cars, They were chronologically : Admiral ROV Team – Gunners UGV Team – SCU Racing Team.
Volunteering & Extra-curricular
Cluster of Innovation, University of Delhi From February to March 2018, Open Source Software Mentor.
Eureka Scientific Society From February 2016 to December 2017, I was Science Committee Member.
ROV Egypt Competition From Nov. 2016 till now, Safety Judge & Technical Support Engineer.
NASA Space Apps Ismailia April 2016 till Oct 2018, Technology & Engineering Mentor.
IEEE (Institute of Electrical and Electronics Engineers)
Locally :
 Chairman, IEEE SCU SB (2017/2018).
 Technical Committee Head , IEEE SCU SB (2016/2017).
 Technical Committee Member, IEEE SCU SB (2015/2016).
Globally :
 IEEE Brand Ambassador 2018.
 IEEE Ambassador IEEEmadc and IEEE Day in 2017.
 IEEE Ambassador in IEEEXtreme Competition in 2017 & 2018.
Technical Skills/Technical Stack
(All the technical skills are demonstrated either by an open-source project or a proprietary contribution)
– General Purpose Languages:
Python, C, C++ , Ruby , Java SE, Assembly (MIPS & Assembly x86)
– Web Development (Back-end Oriented) :
Python : Flask, Django.
Ruby : Ruby on Rails, Sinatra.
Others : PHP (Vanilla), JavaScript (Vanilla), HTML/CSS.
– Machine & Deep Learning :
NLP : NLTK, word2vec.
Frameworks : Keras, Tensorflow, Sckit-learn.
Dashboards & Visualization : matplotlib, dash, plotly.
Data Manipulation : R, SQL , Scipy, Numpy, Pandas, Daru (Ruby).
Time Series Analysis : Auto-regression, ARIMA/SARIMA, FBProphet.
Computer Vision & Image Processing : OpenCV, Tessaract, Skimage, PIL.
– Domain-Specific/4th
Generation Languages :
Scripting : Bash, awk .
Hardware Description Languages : VHDL.
Scientific Computing : MATLAB , Simulink, Mathematica, Jupyter.
– Other Tools & Skills :
– Data Engineering : Elastic Stack (Elastic - Logstash - Kibana)
– DevOps : cpanel, Wordpress, AWS, Azure, DigitalOcean, Nginx, Heroku, Docker.
– Engineering Skills : Digital Signal Processing, Selected Abstract & Applied Mathematics Topics.
– Microcontroller Experience : ESP - RPi – PIC16F/18F – Atmega328/32/16 – Arduino – Tiva C – 8051.
– Others : API & SDK Design, Software Documentation, Proteus, EagleCAD, Odoo, Android Studio, Git.
– Digital Fabrication : Cura, Inkscape, 3D Printers (Shisan, Makerbot, RepRap), Laser Cutters, CNC Milling.
Education
2015 – 2020 (Expected) Suez Canal university BSc. Electronics & Commmunications Engineering, Good.
References
References are available upon Request