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Ahmed Samir
AI Engineer

Undergraduate AI Researcher specializing in Computer Vision, 3D Spatial Reasoning, and Quantum Machine Learning. Kaggle Competitions Expert with a peak global ranking of 768th (2nd nationally in Egypt) with a proven track record of multiple international hackathon victories and peer-reviewed research.

📞 +20 111 830 2763 📧 ahmedsamir1598@gmail.com 🔗 github.com/Ahmed-Samir11 💼 LinkedIn 🎯 Kaggle: ahmedsamir1598 📚 Google Scholar
Education
Bachelor of Computers and Artificial Intelligence, Major in AI
Faculty of Computers and Artificial Intelligence, Cairo University
Expected: Jun 2027

Relevant Coursework: Algorithms Analysis and Design, Supervised Learning, Autonomous Multiagent Systems, Processing of Formal and Natural Languages, Reasoning and Knowledge Representation.

STEM High School for Boys – 6th of October
Physics Club President • Math Circle Vice President
Graduation: Jun 2023

Author of a Thermodynamics Course Book.

Research & Professional Experience
Data Scientist Intern at EFG Hermes
On-site, Egypt
Aug 2026 – Sep 2026
  • Engineered High Frequency Trading Algorithms using Reinforcement Learning.
  • Designed the state-action space and reward functions for financial market environments.
Researcher at The Scientific Research School of Egypt (SRSEG)
Remote
Dec 2024 – Apr 2026
  • Engineered and trained 3+ YOLO variants with novel backbones (Swin Transformer, CBAM) for Dentist X-Ray Object Detection, achieving a new state-of-the-art mAP of 95.5%.
  • Actively participate in weekly research meetings and webinars, presenting findings and shaping new research directions.
Data Scientist Intern at HERE Technologies
Hybrid
Sep 2025 – Dec 2025
  • Recruited into an internship following a 1st place win in the HERE Technologies Hackathon.
  • Worked on geospatial data with different database engines.
  • Worked with AWS services, Docker, and Linux.
ML & NLP Trainee at National Telecommunication Institute
Egypt
Feb 2025 – Jul 2025
  • Completed an intensive program in ML, DL, Agentic AI, and RAG on Huawei AI platforms.
  • Achieved a notebook bronze medal in the CIMBTR Kaggle competition (Top 10%) as part of the graduation project.
  • Developed an educational tool using RAG and Agentic AI to assist math teachers in identifying student misconceptions.
Quantum Mechanics Student Researcher at Oberlin College
Remote
Mar 2023 – Jul 2023
  • Awarded Full Scholarship & a copy of the e-book "Where Research Begins".
  • Researched double donor semiconductor Tellurium and wrote a 19-page paper.
  • Graded A, awarded 2 credit hours transferable to my college transcript, and evaluated as top 5% by Prof. Adhikari (assistant professor at Colgate University and PhD from Amherst College).
Technical Projects
Image Matching Challenge 2025 (Kaggle Bronze Medal)
3D Reconstruction & Point Cloud Generation Pipeline
2025
  • Engineered a scalable 3D reconstruction pipeline utilizing DINOv2 to extract global image descriptors, optimizing image pairing via similarity thresholding to bypass expensive exhaustive matching.
  • Implemented ALIKED to detect high-density local keypoints and integrated LightGlue for robust, high-accuracy feature matching across shortlisted image pairs.
Roboflow DETR (rf-detr) Core Contribution
Open Source Feature Developer
2026
  • Engineered strict configuration validation using Pydantic for the official Roboflow DETR repository, preventing silent model misconfigurations.
  • Implemented a custom configuration base class and unit tests to catch parameter typos, ensuring reliable fine-tuned weight loading for production users.
QuYAML: A Token-Efficient Quantum Circuit Standard
Python Parser for AI-Driven Quantum Development
2025
  • Designed a human-readable, token-efficient format (73% fewer tokens than Qiskit JSON) for quantum circuits, optimized for LLMs.
  • Developed the official Python parser (v0.2) to convert .quyaml files into executable Qiskit QuantumCircuit objects.
  • Engineered a comprehensive test suite (100% coverage) using metamorphic testing to ensure mathematical correctness (unitary equivalence) for complex algorithms (QFT, VQE).
  • Benchmarked against OpenQASM and JSON, demonstrating 73% token reduction vs. JSON.
RbT: Return by Train
Using Kolmogorov-Arnold Network with Self-Improving Loop
2025
  • Top 15% in innovation and creativity among 800+ projects from 10+ countries at the 20th NU UGRF.
  • Implemented a Kolmogorov-Arnold Network (KAN) for time series forecasting.
  • Designed a self-improving feedback loop (inspired by the Darwin Gödel Machine) to allow the model to retrain and adapt as new data arrives.
Awards & Competitions
Faculty Nominee — Caspian Cup 2026 (Azerbaijan)
Selected by the Faculty of Computers and AI to represent Cairo University internationally • 2026
3rd Place Regionally — WIDS Hackathon
2026
Kaggle Bronze Medal — CAFA 6 Protein Function Prediction
2026
Global Nominee — NASA Space Apps
2025
1st Place — Alexandria Quantum Hackathon
2025
1st Place — HERE Technologies Hackathon
2025
2nd Place — Quantathon, AIMS Ghana
2025
2nd Place — Fawry AI Rising Gen
2025
3rd Place — Cairo AI Hackathon
2025
Kaggle Bronze Medal — Image Matching Challenge
2025
Kaggle Bronze Medal — BirdCLEF+
2025
Technical Skills & Certifications
Languages & Libraries
Python
Qiskit
PennyLane
PyTorch
scikit-learn
Pandas
NumPy
Cloud & DevOps
AWS
Docker
Kubernetes
Certifications
Huawei HCIA-AI
GitHub Foundations
QSilver
QNickle
QBronze
Publications
QUBO Model for Energy Planning: Quantum-Enhanced Microgrid Optimization for Rural Electrification in Africa
Farhani, Y., Fah, H. R. M., Samir, A., Adam, M. Y. E., Mulila, K. M. & Osumanu, A.
In Proceedings of GECCO 2026: Quantum Optimization Workshop, 2026 — [Paper link]

Last Updated: September 2026

For the latest information, visit: ahmed-samir11.github.io