John William
Hi, I'm John William

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About Me

I'm an AI and Computer Vision Engineer passionate about using artificial intelligence to solve real-world problems and make a tangible impact. My work focuses on bridging the gap between advanced research and practical application. I've developed deep learning models that improve critical healthcare procedures, like heart valve replacements, and engineered large-scale system integrations with an IBM Golden Partner. My experience isn't just about coding; it's about driving innovation through collaboration. I've led AI research projects, successfully deployed models, and enjoy sharing my knowledge by teaching others about complex topics such as Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Natural Language Processing (NLP), and the exciting fields of Retrieval Augmented Generation (RAGs) and AI Agents. I love tackling complex challenges and making AI more understandable. I am always learning and currently expanding my skills. If you're looking for a dedicated professional with strong technical skills in AI, Machine Learning (ML), Deep Learning (DL), and a drive to build solutions that matter, I'd love to connect.

Experience

NeuroTech - AI Instructor

April 2025 – Present | Dokki, Cairo

  • Delivered over 100+ hours of lectures on AI, ML, and deep learning.
  • Taught advanced topics including CNNs, GANs, RAGs, LLMs, and AI Agents, with hands-on projects that improved students' model accuracy by 20–30%.

Tech-Hub - Integration and Middleware Engineer

September 2024 – Present | Maadi, Cairo

  • Working at Tech-Hub, an IBM Golden Partner, designing and implementing middleware solutions using IBM App Connect and IBM MQ.
  • Developed message flows and SOAP services.
  • Integrated SQL Server with enterprise applications using ODBC, enabling real-time data access and improved system connectivity.

iSchool - Coding Instructor

February 2025 - April 2025 | Remote - Project-Based

  • Lectured students aged 6-17, starting from basic programming concepts up to application development, game development, and data analysis using Python.

Intixel - Computer Vision Engineer Intern

October 2024 – February 2025 | Nasr City, Cairo – Internship

  • Developed and implemented advanced computer vision algorithms for real-world healthcare imaging tasks, contributing to internal R&D projects.
  • Optimized pre-trained deep learning models, improving inference speed by 30% and accuracy by around 12% on selected tasks.
  • Collaborated with a cross-functional team of AI researchers and software engineers to integrate CV modules into production pipelines.

Nile University - Junior Teacher Assistant

September 2022 - Feb 2023 | El Sheikh Zayed City, Egypt

  • Assisted TAs in teaching academic tasks.

Projects

(Click on a project title to view it on GitHub where available)

AI-based Website for Automated Pre-Operative Planning in Aortic Valve Replacement using Deep Learning

  • Led a team of 5 members to develop an AI-powered web system for optimizing valve sizing in heart surgeries.
  • Used CTA imaging data to construct 3D anatomical models, perform aortic valve segmentation, and detect anatomical landmarks automatically.
  • Achieved 90% accuracy, outperforming manual expert estimations (81%).

Tools Used: Python, Deep Learning, MongoDB, Model Deployment, Fine-Tuning.

Multi-Class Classification of Plant Diseases

  • Built and compared two CNN architectures to classify images into 38 plant disease categories. One model was designed from scratch, while the second used Transfer Learning via VGG-16.
  • Fine-tuning improved accuracy by 15% over baseline model performance.

Tools Used: Python, TensorFlow, Keras, OpenCV, VGG-16, Image Classification, Data Augmentation, Jupyter Notebook.

Autonomous Cars on IDD using Detectron2

  • Trained a real-time Instance Segmentation model on the IDD dataset using Detectron2, capable of detecting vehicles, pedestrians, traffic signs, and road markings.
  • Achieved high accuracy in complex road environments, suitable for autonomous driving applications.

Tools Used: Detectron2, Python, PyTorch, Deep Learning, IDD Dataset.

AI Talks & Events

(Click on an event to see photos and details)

Machine Learning Workshop at Nile University

Machine Learning Workshop at Nile University

June 2025

An engaging session discussing the advancements in AI and ML in the healthcare sector

Deep Learning Workshop at American University in Cairo

Deep Learning Workshop at American University in Cairo

May 2025

Hands-on workshop covering DL fundamentals for AUC engineering students, and its applications in various sectors like healthcare, education, and finance.

Publications

Awards and Scholarships

Skills

Programming Languages

  • Python
  • Java
  • C++
  • C
  • JavaScript
  • SQL

Artificial Intelligence & Data Science

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • CNN
  • Natural Language Processing
  • Sentiment Analysis
  • Machine Learning Algorithms
  • OpenCV
  • PyTorch
  • TensorFlow
  • Model Evaluation
  • Supervised Learning
  • Scikit-learn
  • RNN
  • LLMs
  • LSTMs
  • GANs
  • RAG
  • Image Processing
  • YOLO
  • Detectron2
  • VGG-16
  • ResNet
  • Data Science
  • Data Visualization
  • Data Analysis
  • Git
  • GitHub
  • Docker
  • AWS
  • Azure
  • Google Cloud

Soft Skills

  • Communication Skills
  • Teamwork & Collaboration
  • Problem-Solving
  • Attention to Detail
  • Analytical Thinking
  • Planning
  • Leadership

Contact Me

Feel free to reach out. I'm always open to discussing new projects, creative ideas, or opportunities to be part of something great.