Resume

Muhammad M. Ahmad

Personal Info

• Github, Linkedin, Google Scholar
• muhammadmoustafa22@gmail.com
• Montreal, Quebec, Canada
• (+20) 115-833-9611

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Summary

A Ph.D. student in Neuroscience Modeling with experience in the software industry.

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Interests

Computer Science	Neuroscience	Modeling
Blockchain	Data Science	Computer vision

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Education

• Ph.D. in Physiology, McGill University — September 2024 - In Progress

• Master’s of Biomedical Engineering School, Cairo University — September 2018 - May 2023

  Thesis: Bifurcation analysis of a spinal motoneuron model under normal and pathological conditions.

• Bachelor of Biomedical Engineering School, Cairo University — September 2013 - May 2018

  Grade: Excellent - GPA: 3.9

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Experience

• Biomedical Engineering, Cairo University — Teaching Assistant February 2019 - Present

  Courses: Medical Equipment “MRI”, Programming Techniques and OOP, Data Structures, Algorithms, Embedded, Biosystems and IOT, Digital Signal Processing, Biometrics.

• Intixel, Cairo — Software Engineer linkedin, May 2021 - Present

  • Used Technologies: Django, DRF, Hasura, React, Three.js, Next.js, MySQL, RabbitMQ, Ethereum, Flutter, Authorize.net, Stripe APIs, Apps Script, Knox, GitHub Actions, Swagger.
  • Projects:
    • WAE: Furniture design website
    • Ahket: Attestation Management Platform based on Web3 and smart contracts.
    • AIRA: Cancer detection and annotation website.

• Siemens EDA, Cairo — Software Engineer February 2021 - May 2021, September 2018 - January 2019

  • Used Technologies: JNI (Java Native Interface), Maven, JUnit, Javadoc, Cross-platform libraries, mingw-64 cross compiler, Jenkins CI/CD pipeline
  • Projects:
    • Veloce Strato Emulator Interface.
    • 0-in: Porting from Linux to Windows using c++ cross-platform libraries and mingw-64 cross compiler.
    • Questa Coverage: Maintainance and adding new features.

Skills

• Programming Languages: Python, Javascript, Java, C/C++, Dart, Matlab.
• Web Frameworks: Django, DRF, Spring, React, Node, Next, Flutter, Ionic, Loopback, Apps Script.
• Database: MySQL, SQLite, NoSQL “Dynamo, Mongo, Redis”, ER Diagrams, ORM “Hibernate, Django ORM”, MySQL Workbench.
• Embedded: 8051 Assembly, AVR, PIC, ESP8266, Arduino, RTOS
• Blockchain: Solidity, Truffle, Metamask, web3.js, Remix.
• Data Science: Numpy, Pandas, PyTorch, Tensorflow, Sklearn, Matplotlib, Seaborn, Jupyter.
• DevOps: Linux, AWS, RabbitMQ, Docker, git, Makefile, Bazel, Profiling, Logging.
• Scientific Tools: NEURON, XPP, MiniZinc.
• Others: Hasura, GraphQL, Qt, DICOM, PACS, gRPC, Asylo, Multithreading, Unit Testing, C Wrappers (Cython, JNI, matlab coder formerly mex).

Projects

• Neuroscience
  • Run simulations for neurons and networks using NEURON and Python
  • Build neural models and conduct bifurcation analysis using XPPAUT
• Open Source
  • startdomain — A Django app to create apps aligned with Django API Domains (Python, Django, DRF) PyPI link
  • XPP — VS Code extension Microsoft Marketplace
• Imaging
  • MRI Sequence Simulator — MRI Imaging Simulator with different pulse sequences and different imaging parameters (Matlab, C ”Matlab mex”, Python, Cython)
  • CT-MR Tracker — Desktop application that links a DICOM MR-Image with a CT-Image or vice versa in order to propagate the same transformation or highlighting from one Image to another (Python, Qt, pydicom)
  • DICOM Merger — Desktop application that merges a DICOM image in a video streaming source (Python, Qt, opencv)
  • Mini PACS — Picture Archiving System (C++, Qt, SQLite)
  • Computer Vision — Hough transform, Canny Edge detection, Segmentation
  • Image Processing Application — (C++, Qt, OpenCV)
• Data Science
  • Handwritten Letter Recognition using Neural Networks — (Python, pytorch, pandas, sklearn)
  • Demographic Segmentation using ANN — (Python, tensorflow, sklearn)
  • Image classification using CNN — (Python, tensorflow, sklearn)
  • Google Stock Price Predictor using RNN — (Python, tensorflow, sklearn)
  • Data exploration and visualization — Exploration and Visualization of FordGo dataset (Python, pandas, matplot, seaborn)
  • A/B testing — (Python, pandas, numpy, statsmodel, sklearn)
  • Prediction of Type II Diabetes — Train several ML Models on Pima diabetes dataset using hyperparameter tuning and k-cross validation then compare their confusion matrix, ROC and Feature Importance. (Python, pandas, sklearn)
  • Hand Movement Classifier — Differentiate between Palmar and Lateral Movement Records (Python)
• Web Development
  • National Electronic Health Record “Graduation project”— scalable platform to exchange medical data between different healthcare providers (Java Spring, DynamoDB, S3, redshift)
  • Web CIS — Cloud-based Clinical Information System (C#, ASP.net, SQL, Amazon RDS)
  • Fourier Series Visualization — (javascript, P5) live demo
  • Phonebook — (Angular, Loopback)
  • Maze Generator — web application that generates a maze to be solved (javascript, P5, docker) docker
  • P2PTicTacToe — web application to play TicTacToe (javascript, node, Express, P5, Socket Programming)
  • Pendulum Simulator — web application to draw the state associated on movement from different initial positions (javascript, P5) live demo
• Desktop Applications
  • PDFetos — Desktop App to convert images into pdf (C++, Qt, OpenCV)
  • DSP Sound Filter — Design and Implement a digital filter using zeros and poles locations on z-plane (Python)
  • DSP Equalizer — Design a real-time digital equalizer (Python, Arduino)
• Embedded Software
  • Elevator Control System — (8051 Microcontroller, Arduino, Android App)
  • Vending Machine — Vending Machine Using FPGA Kit (VHDL, Xilinx)
  • CNC Plotter — (Arduino, G-code)
  • 2FA security system — (Arduino, Android App)
  • POV Fan — (Arduino)

Internships

• Udacity — Session Lead of Intermediate Javascript Nanodegree October 2022 - March 2023

  • The curriculum consists of three modules:
    • Object Oriented Programming
    • Functional Programming
    • Asynchronous Programming

• ThinkLoud, Cairo — Software Engineer, linkedin, August 2018

  • Developed Web/Mobile applications using Ionic, Loopback, and MongoDB.
  • Developed Rest APIs and generated API documentation using Swagger.
  • Peer code review.

• Dileny, Giza — Software Engineer, linkedin, July 2017 - September 2017

  • Used C++/OpenCv/Qt to build an Image processing Desktop Application.
  • Created application prototypes using Python
  • Drew ER diagrams and Created DB schema on SQLite.
  • Products: US-Elasto

Courses and MOOCs

• Neuromatch Academy Deep Learning (July 2023)
• Machine Learning Specialization — (Coursera, September 2022)
  • Supervised Machine Learning: Regression and Classification (August 2022)
  • Advanced Learning Algorithms (September 2022)
  • Unsupervised Learning, Recommenders, Reinforcement Learning (September 2022)
• Deep Learning Specialization — (Coursera, October 2022)
  • Neural Networks and Deep Learning (July 2022)
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (August 2022)
  • Structuring Machine Learning Projects (August 2022)
  • Convolutional Neural Networks (August 2022)
  • Sequence Models (October 2022)
• Mathematics for Machine Learning and Data Science Specialization — (Coursera, July 2023)
  • Linear Algebra for Machine Learning and Data Science (June 2023)
  • Calculus for Machine Learning and Data Science (July 2023)
  • Probability & Statistics for Machine Learning & Data Science (July 2023)
• Data Structures and Algorithms Specialization (Coursera)
  • Algorithmic Toolbox — (September 2020)
  • Data Structure — (February 2021)
  • Algorithms on Graphs — (April 2022)
  • Genome Assembly Programming Challenge — (Audited)
• Google Project Management: Professional Certificate — (Coursera)
  • Foundations of Project Management — (February 2023)
  • Agile Project Management — (March 2023)
• Basic Modeling for Discrete Optimization — (Coursera, August 2024)
• Process Mining: Data science in Action — (Coursera, In Progress)
• Deep Learning A-Z™: Hands-On Artificial Neural Networks — (udemy, June 2022) Tasks
• Computational Neuroscience by University of Washington — (Coursera, August 2020)
• Advanced Data Analysis Nanodegree — (egfwd & udacity, December 2020) Tasks
• Ethereum Blockchain Developer Bootcamp With Solidity — (udemy, March 2022)
• Big Data Engineer — (IBM, June 2019)
• Agile and Software Testing — (Casbec Lab, March 2018)
• AVR Microcontroller — (IMT School, October 2017)
• Intro to Bioinformatics using R — (Nile University, August 2017)
• Hadoop Big data crash course — (IEEE-FCI, February 2017)
• Learning How To Learn — (Coursera, August 2016)

Publications

• Moustafa M, Mousa MH, Saad MS, Basha T and Elbasiouny SM (2023) Bifurcation analysis of motoneuronal excitability mechanisms under normal and ALS conditions. Front. Cell. Neurosci. 17:1093199. doi: 10.3389/fncel.2023.1093199 Website Code ModelDB

Extracurricular Activities

• AI in Medical Imaging Winter School RISE-MICCAI & AFRICAI — November 2022
• Jyväskylä Summer School 2021
• Machine Learning summer school MLSS 2021 Taipei
• Egypt FWD initiative, Udacity — Advanced Data Science Track

Awards and Achievements

• IEEE EMBS Cairo University Student Chapter Summer Contest, Second Place (2016) — Cloud-based Electronic Medical Record “EMR”.
• UBORA design competition Second Stage (2017) — Design of Portable Solar Incubator.

Volunteering Experience

• Project mentor for Neuromatch deep learning (July 2023)
• Machine learning mentor in STP Macathon 3.0
• IEEE-SMP “Student Mentorship Program” — (June 2021 - December 2021)
• Coordinator of my department class — (August 2015 - August 2018)
• Organizer of SBME Seminars & Admin of CUFE-BME Youtube Channel
• C++ Instructor— Beat Student Activity (July 2016)
• Primary Arabic Teacher — Hand-in-Hand Student Activity (November 2014 - January 2015)
• Conference Logistics Member — (BECEM April 2018, ISC April 2017)

Languages:

• Arabic: Native
• English: 105 TOEFL Score (Reading 27, Listening 29, Speaking 22, Writing 27)
• French: Section 4, Unit 21 Duolingo (Score 40).
• German: Section 2, Unit 19 Duolingo.