Mohamed Ahmed Rashad is a software engineer and architect with experience in fields such as software engineering, distributed systems, AI, machine learning, and data science. He has worked in industries including financial technology, supply chain, and telecommunications. Notable projects include an anti-spoofing and liveness detection solution, Arabic OCR, and time-series forecasting solutions. He has a BSc in electronics and communication engineering from Suez Canal University and certificates in artificial intelligence from Udacity.

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 – Telecommunication – Industry 4.0
Job Experience
Most of my work is open-source and can be found in my Github account, except proprietary software.
Full-Time :
 June 2019 : Present Software Engineer Nokia Networks
 November 2018 : March 2020 Software Architect Digified
 July 2016 : January 2018 Software Developer Aurora Solutions
 February 2014 : July 2017 Software Developer Pi Developers
Part-Time :
 Feb 2018 : Present Software Architect Lyra Analytics
 July 2018 : January 2019 Machine Learning Engineer DevisionX
 July 2018 : January 2019 Software Developer Hadath GIE
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 : December 2019 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 :
 TAI2.0 – A revamped large-scale distributed system for Telecom & NPO Analytics
 Reporting & Analytics Tool for Telecommunication Subscriber Data Management (SDM) Software
 Data Visualization tool for NTRA Monthly Telecom KPI Data
 Data Visualization tool for Nokia Daily & Hourly KPI Data
 NetAct Auditing Tool for 3G&4G sitesrecognition
 Email Bot for automated Network Capacity Estimation Study
Digified :
 End-to-End Anti-spoofing & Liveness Detection Solution for On-boarding & Identity Verification
 End-to-End Arabic OCR Solution for official & government documents
 End-to-End Face Recognition and Verification Solution
 Document Data Verification & Fraud Detection Solution Using NLP & computer vision
 Custom CI, a tailored CI/CD Solution, for distributed computer vision & NLP applications.
Lyra Analytics :
 End-to-End Time-Series Forecasting & Analysis Solution for Retail Sales
 End-to-End Patient Count Prediction & Inventory Consumption Forecasting for Hospitals
 Dashboard & Descriptive Sales Analytics Solution for Textiles Factory
 Dashboard & Descriptive Analytics Solution for high-end restaurant chain
 AI Launchpad program, a specialized training program to prepare AI & Data science talent for the market
Aurora Solutions :
 Odoo REST API to interface with Sales and Customers Modules
 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

2. 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)
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)
 Student Member (2016-Present)
 Chairman, IEEE SCU SB (2017/2018).
 Technical Committee Head , IEEE SCU SB (2016/2017).
 Technical Committee Member, IEEE SCU SB (2015/2016).
 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)
Programming Languages
Python C, C++ Ruby Java SE Assembly x86 Haskell Elixir
Web Development (Full-stack)
APIs : GraphQL, REST Python : Flask, Django Ruby : Ruby on Rails, Sinatra
Frontend : React.js jQuery , Bootstrap Backend : Node.js, Apollo, Express.js , PHP
Machine & Deep Learning
NLP : NLTK, word2vec Visualization : matplotlib, dash, plotly
Frameworks : Keras, Tensorflow, Sckit-learn 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, Verilog
Scientific Computing : MATLAB , Simulink, Mathematica, Jupyter Notebook

3. Other Tools & Skills
DevOps : cpanel, Wordpress, AWS, Azure,
DigitalOcean, Nginx, Heroku, Docker, cAdvisor
– Microcontroller Experience : ESP - RPi –
PIC16F/18F – Atmega328/32/16 – Arduino – Tiva C –
8051.
Engineering Skills : Digital Signal Processing, Selected
Abstract & Applied Mathematics Topics
– Digital Fabrication : Cura, Inkscape, 3D Printers
(Shisan, Makerbot, RepRap), Laser Cutters, CNC
Milling.
– Data Engineering: Redis - MySQL - SQLite -
MongoDB - PostgresDB - InfluxDB – Grafana – Elastic
Stack.
– Others : API & SDK Design, Software
Documentation, Proteus, EagleCAD, Odoo, Android
Studio, Git.
Talks, Webinars & Workshops
(This is the list of the most important talks & workshops I gave in various institutions and conferences)
2020 Using Data Science for COVID-19 Lyra Analytics - Webinar
Using Computer Vision to detect COVID-19 Lyra Analytics - Webinar
2019 Image-Based Recommendation Systems Google Study Jams (ML & Black Friday)
Applications of AI in Digital Fabrication Fab15 Conference , TU Berlin (El Gouna)
2018 Image Captioning Systems using CNN Google DevFest’18 , ITI (SCU Branch)
Introduction to Machine Learning IEEEXtreme Error Camp, Nile University)
2017 AI for the Masses NASA Space Apps Challenge (SCU)
API Design & Best Practices NASA Space Apps Challenge (SCU)
2016 Introduction to Android Development NASA Space Apps Challenge (SCU)
Education
2015 – 2020 (Expected) Suez Canal university BSc. Electronics & Communication Engineering, Good.
Certificates & Courses
June – September 2019 Artificial Intelligence Nanodegree Udacity