Open to AI Research & Engineering Roles

Mahmoud Alyosify

AI & Data Science Engineer|

MSc Artificial Intelligence @ Queen's University, Canada — awarded the The Presidential Scholarship. Building production-ready LLM systems, self-supervised learning pipelines, RL-based cloud optimizers, and scalable Generative AI products. Taught 10,000+ learners across Egypt.

10,000+
Students Taught
700K+
YouTube Views
6
AI/ML Projects
3
AWS Certifications

About Me

I'm an AI & Data Science Engineer with a Bachelor's in Computer & Information Science (Bioinformatics) from Assiut University and currently pursuing an MSc in Artificial Intelligence at Queen's University, Canada through the The Presidential Scholarship — a competitive national AI graduate fellowship.

My research and engineering work spans LLM fine-tuning (LoRA/QLoRA), self-supervised contrastive learning, deep reinforcement learning for cloud optimization, and applied predictive ML for space safety. I deploy production-oriented AI systems on AWS and integrate RAG pipelines, multi-agent workflows, and ONNX/FAISS for real-world performance.

Beyond engineering, I've taught 10,000+ learners through Udemy courses and my Arabic YouTube channel (Einstein Misr) with 700K+ views, and recently presented at Queen's University's AI Teaching and Learning Forum 2026.

🎓 Queen's University AI Forum 2026 presenter — Automated Multimodal Agent: PDF to Narrated PowerPoint (with Mirna Imbabi) · KINE 104, Ideas Fair
View Projects GitHub
Scholarship
The Presidential Scholarship (National AI Fellowship)
Bachelor's
B.Sc. Computer & Info. Science (Bioinformatics) — GPA 3.53/4.0
Location
New Cairo, Egypt · Open to Relocation
Languages
Arabic (Native) · English (Professional Working Proficiency)

My Education

Queen's University · Canada
MSc in Artificial Intelligence
Sep 2025 – Present  ·  In Progress
  • Awarded The Presidential Scholarship — competitive national AI graduate fellowship
  • CSAI 801 — Fundamentals of AI & ML
  • CSAI 810 — Topics in AI (GenAI, LLMs, RAG, AI Agents)
  • CISC 886 — Cloud Computing & Big Data (Spark, Hadoop, Docker, CI/CD, AWS)
  • CISC 839 — Advanced Data Analytics (End-to-End ML Pipelines, GenAI for Analytics)
  • CISC 867 — Deep Learning  |  CISC 856 — Reinforcement Learning
The Presidential Scholarship
Assiut University · Egypt
B.Sc. Computer & Information Science (Bioinformatics)
2019 – Jul 2023  ·  GPA: 3.53 / 4.00
  • Graduation Project: Vitalism Solution — contactless vital sign estimation via rPPG
  • Grade: A+ (Excellent)
  • Semi-Finalist, Microsoft Imagine Cup 2023
GPA 3.53/4.00 · Excellent

My Experience

Jul 2025 – Sep 2025
Machine Learning Instructor
  • Delivered a 90-hour hands-on ML program covering supervised learning, PCA, and neural networks for engineering and CS students.
  • Designed practical projects and assessments for real-world ML application.
Jun 2025 – Jul 2025
AI in Cybersecurity Intern
  • Applied AI-driven cybersecurity tools for threat intelligence, digital forensics, and enterprise security analysis.
  • Hands-on with SOC tools, memory forensics (Volatility), DLP, and penetration testing frameworks.
Feb 2024 – Mar 2025
Systems Engineer (Military Service)
National Company for Roads Building & Development — Cairo, Egypt
  • Supported backend systems for national toll infrastructure serving 50%+ of Egyptian vehicles and 70%+ of roads.
  • Co-developed internal desktop application using C#, .NET, Entity Framework, SQL Server, and Crystal Reports.
2020 – Present
Online Instructor — AI, Algorithms & Data Science
  • Taught 10,000+ learners through Arabic technical content on Algorithms, Discrete Math, Probability, and ML.
  • Accumulated 700K+ YouTube views with structured lessons and problem walkthroughs.
Jul 2023 – Sep 2023
Machine Learning Intern
  • Completed intensive 200-hour ML program covering supervised, unsupervised learning, neural networks, and model evaluation.

Selected Projects

End-to-end AI systems spanning LLM fine-tuning, self-supervised learning, reinforcement learning, and production deployment.

🛡️
Horus-OSINT — Cloud-Based Threat Intelligence Assistant
Mar 2026 – Apr 2026
  • Fine-tuned Meta-Llama-3-8B on 159,826 GTD/GDELT records for an OSINT threat intelligence assistant.
  • Deployed on AWS as an interactive application for querying global terrorism and event intelligence data.
Llama-3-8B Fine-Tuning AWS LLM OSINT
🔬
SimCLR-Vision-SSL — Self-Supervised Contrastive Learning
Apr 2026 – Jun 2026
  • Built a self-supervised vision pipeline with a 42-experiment augmentation sweep, a semi-supervised SupCon extension, and deployment-ready ONNX/FAISS integration.
  • Achieved 84.30% top-1 accuracy; evaluated representations for classification and retrieval tasks.
PyTorch SimCLR ONNX FAISS 84.30% acc.
☁️
Autonomous Cloud Resource Provisioning via RL
May 2026 – Jun 2026
  • Designed a custom Gymnasium environment for autoscaling decisions and trained PPO and DQN agents for adaptive cloud resource allocation.
  • Optimized the trade-off between infrastructure cost and latency under changing workload conditions.
PPO DQN Gymnasium Reinforcement Learning
🛰️
SCRAP — Satellite Collision Risk Assessment & Prediction
Jan 2026 – Mar 2026
  • Built a supervised ML pipeline for early satellite collision risk prediction using conjunction data available 48+ hours before closest approach.
  • Matches time-critical operational decision windows for space safety.
Scikit-learn Applied ML Space Safety
🤖
Automated Multimodal Agent — PDF to Narrated PowerPoint
Jan 2026 – Mar 2026
  • Engineered an autonomous multimodal workflow converting PDFs into narrated PowerPoint presentations.
  • Coordinates content extraction, slide generation, and audio narration end-to-end via agentic AI.
  • Presented at Queen's University AI Teaching & Learning Forum 2026.
Generative AI Agentic AI Multimodal Conference
📊
Analyzing Review Effort: Human vs. Agentic Pull Requests
Mar 2026 – May 2026
  • Built a reproducible analytics pipeline to compare review effort in agent-generated vs. human-authored pull requests across large-scale open-source GitHub repositories.
  • Empirical software engineering research using GitHub mining and data analysis.
GitHub Analytics Data Mining Empirical SE
🎙️
AudioShield — Deepfake Audio Detection
2025
  • CNN-based deepfake audio detection system.
  • Deployed with a Streamlit web interface for real-time inference.
CNN Audio AI Streamlit Deepfake Detection
💓
Vitalism Solution — Contactless Vital Signs Estimation
2023 · Graduation Project
  • Real-time contactless vital sign (heart rate, SpO₂) estimation from video using rPPG and wavelet filtering.
  • Grade: A+ · Semi-Finalist, Microsoft Imagine Cup 2023.
Computer Vision rPPG OpenCV A+ Grade

My Skills

Focused on the full AI/ML engineering stack — from research to production deployment.

AI / LLMs
LLMs Fine-Tuning (LoRA/QLoRA) RAG Transformers Hugging Face LangChain Prompt Engineering Multi-Agent Systems
ML / Deep Learning
PyTorch TensorFlow Scikit-Learn XGBoost LightGBM CNNs Computer Vision NLP SHAP Optuna
Data / MLOps
Pandas NumPy PySpark ETL Pipelines Feature Engineering Docker CI/CD AWS
Backend / Deployment
FastAPI Streamlit FAISS ChromaDB ONNX MySQL MongoDB
Programming
Python C++ C Go JavaScript C# MATLAB Linux Git/GitHub

Teaching & Content Creation

Passionate about making AI/ML accessible to Arab learners. Teaching since 2020 across Udemy and YouTube.

Einstein Misr — أينشتاين مصر
Arabic educational channel covering Algorithms, Data Structures, Discrete Math, Probability & Statistics, and Machine Learning.
700K+
Total Views
Udemy Instructor
Published courses in Arabic on foundational CS and AI topics, helping Arab students excel in competitive fields.
10,000+
Total Students
Grokking Algorithms Course
Grokking Algorithms & Data Structures in Arabic
Discrete Mathematics Course
Discrete Mathematics for CS in Arabic — الرياضيات المتقطعة
Probability and Statistics Course
Probability and Statistics in Arabic — الأحتمالات والإحصاء

Achievements & Awards

🥇
1st Place — Smart Cities Hackathon 2022
Jan – Mar 2022 · Benha University
Won 1st place nationally among 77 teams from governmental, private and national Egyptian universities. Organized in partnership with AWS, Elsewedy Digital, Orange Egypt, and NBE.
🌟
Semi-Finalist — Microsoft Imagine Cup 2023
Global Competition · Vitalism Solution Project
Qualified for global semi-finals with Vitalism Solution — an AI system for contactless vital signs estimation via rPPG. Project received Grade A+ at Assiut University.
📜
Ideal Student Award 2022–2023
Faculty of Computers & Information, Assiut University
Awarded for outstanding academic performance and exceptional contributions to the faculty and university community.
🎬
1st Place — Science & Tech Content Competition 2021–2022
University Level · White Hackers Team
Won first place for creating exceptional science and technology educational content at the university level.
🏛️
Secretary — Higher Scientific & Technological Committee
Assiut University Student Union · 2021 – 2022
Led the supreme scientific committee of Assiut University Students Union for 2022.
Mahmoud Alyosify recognition

Recommendations

"
I had the pleasure of teaching Mahmoud in my Generative AI course, and I highly recommend him for any opportunity in the AI and technology space. Mahmoud was an exceptionally active and engaged student who consistently demonstrated strong curiosity and initiative. His ability to connect theoretical ideas with practical implementation stood out throughout the course. He has a clear passion for learning and innovation, and I am confident he will continue to excel in any academic or professional setting.
Rahatara Ferdousi
Rahatara Ferdousi, PhD
Doctor of Applied AI · Mahmoud's Generative AI Professor
"
I know Mahmoud from many points of view; he was one of the ideal students at the College of Computers and Information. He was a distinguished student, committed to attending all lectures on time, asking many important questions, and characterized by innovation in his projects. He exhibited a remarkable ability to quickly grasp new techniques and demonstrated impeccable time management skills while working seamlessly with his team members.
Dr. Ibrahim Elsemman
Dr. Ibrahim Elsemman
Assistant Professor, Information Systems — Assiut University
"
Mahmoud showed a tremendous technical knowledge and systematic way of approaching problems.
Dr. Islam Taj-Eddin
Dr. Islam Taj-Eddin
Assistant Professor, IT Department — Assiut University
"
I wholeheartedly recommend Mahmoud for any future leadership positions or professional endeavors. He consistently exhibited strong leadership qualities, effective communication, clear goal-setting, and motivated the entire team. His remarkable problem-solving skills and ability to think critically were instrumental in overcoming obstacles and achieving project success. I am confident he will continue to excel in any position he undertakes.
Nada Essam
Nada Essam
Teaching Assistant at E-JUST
"
I am pleased to recommend Mahmoud. Throughout our four years at the Faculty of Computers and Information, I observed his unwavering diligence and consistent efforts to develop skills with creative problem-solving methods. As a leader, his exceptional qualities shine in effective team management and fostering a positive work environment. His unique perspective enables him to swiftly address challenges and devise effective solutions to complex technical problems.
Mina Nashat
Mina Nashat
Data & Analytics Engineer @ Ejada | Python Developer
"
Mahmoud is a distinguished person in teamwork. He adds new and unique ideas to any team he participates in. We participated in the Smart Cities Hackathon and got first place — this is due to his leadership and the understanding that characterizes the team. I wish him success in the future.
Nourhan Ahmed
Nourhan Ahmed
Teaching Assistant at GIU | BackEnd Developer

Certifications

Click any certificate to view the full image.

Let's Work Together

Whether you're looking to hire an AI engineer, collaborate on research, or discuss a project — I'd love to hear from you.