• Hi!
    I'm Kirollos

    Software & Machine Learning Engineer

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About Me

Who Am I?

I'm Kirollos Ehab, Enthusiastic Junior at Ain Shams University studying Computer Engineering & Software Systems. passionate in Deep Learning, Machine Learning, Data Science, and Artificial Intelligence. Equipped with programming and analytical skills, and constantly willing to learn and progress.

ML & DL

Data Science

Software

Embedded

My Specialty

My Skills

Python

Advanced

C++

Advanced

Machine Learning

Experienced

Deep Learning

Experienced

Data Science (Pandas/Numpy/Matplotlib)

Experienced

Embedded

Intermediate
Education

Education

Expected July 2026
Major in Computer Engineering and Software Systems

Thanawia Amma
88.8%
Ranked 6 on School (Saint Fatima Language School)

Experience

Work Experience

ASU Racing Team icon

ASU Racing Team, Deep Learning Researcher November 2023 - Present

  • Collaborating with a team of talented individuals to design and implement innovative machine learning models for autonomous vehicles
  • Applying deep learning algorithms to improve the team’s performance in various autonomous vehicle competitions
cellula icon

Cellula Technologies, ML Engineer Intern November 2023 - December 2023

  • Led a high-performing team in the development of Taxi Fare Prediction, achieving significant enhancements in accuracy and efficiency
  • Used Classification techniques as DecisionTrees, KNN, RandomForest & Logistic Regression
  • Used Regression techniques as DecisionTreesRegressor, Linear Regression, RandomForestRegressor & XGBoostRegressor
  • Achieved high accuracy & low MSE while working on the tasks
Edges for training icon

Edges for Training, Embedded Systems Diploma July 2023 - November 2023

  • Worked under supervision of Engineer Mohamed Tarek
  • Mastered the basic concepts of Embedded Systems, demonstrating a solid understanding of core principles
  • Mastered the fundamental concepts of Embedded C
  • Interfaced with AVR Micro-controllers, developing comprehensive drivers for various peripherals
  • Acquired knowledge of Real Time Operating Systems (RTOS)
WE icon

Telecom Egypt, AI Trainee July 2023 - August 2023

  • Learned About Neural Networs & Worked with Keras, Tensorflow & NumPy
  • Knew CNN Architecture & difference between ANN & CNN
  • Used Pre-Trained models like MaskRCNN for Object detection & instance segmentation
Projects

Recent Projects

IBM Data Science Capstone

  • Predicted if the Falcon 9 first stage will land successfully.
  • Used Folium to visualise launch sites.
  • Created a web visualisation page using Plotly Dash.

Taxi Fare Prediction

  • Predicted fare amount in New York City.
  • Applied multiple Regression Models.
  • Deployed Model using Django Framework.

Instance Segmentation

  • Used MaskRCNN to segement & detect all objects in the video.
  • Used MaskRCNN to segment & detect cars only in the video.
  • Used CV2 & pixellib library to count the cars in each frame in the whole video.

Face Recognition and Audio Gender Identifier

  • Used Pyaudio in recording Voice.
  • Used SVM algorithm in the Face Recognition.

Educapedia IGCSE Web Application

  • Applying Software Principles & MVT architecture.
  • Used HTML/CSS & JavaScript for Front-End & used Django for the backend.
  • Hosted the application on pythonanywhere.
  • Used Incremental Approach when developing the application.

Library Management System

Used Java & Javafx for GUI & File Handling to apply OOP concepts.

Courses

Certificates

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January 2024 | IBM

IBM Data Science

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December 2023 | Cellula

Machine Learning Engineer

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November 2023 | Edges for Training

Embedded Systems Diploma

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July 2023 | Deeplearning.Ai

Machine Learning Specialization

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August 2023 | GDSC

Embedded Systems

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March 2023 | STP

Machine Learning Workshop

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December 2022 | University of Michigan

Python Data Structures

Get in Touch

Contact

kirollos.ehab.magdy@gmail.com

Cairo, Egypt

+20 121 175 6366