CV — Ahmed Samir

Ahmed Samir — AI Engineer
📞 +20 111 830 2763 • 📧 ahmedsamir1598@gmail.com
Google Scholar • GitHub • LinkedIn • Kaggle

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

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 — Graduation: Jun 2023
  – Physics Club President, Math Circle Vice President, Author of a Thermodynamics Course Book.

Publications

• Farhani, Y., Fah, H. R. M., Samir, A., Adam, M. Y. E., Mulila, K. M. & Osumanu, A. QUBO Model for Energy Planning: Quantum-Enhanced Microgrid Optimization for Rural Electrification in Africa. In Proceedings of GECCO 2026: Quantum Optimization Workshop, 2026. Paper

Research & Professional Experience

• Data Scientist Intern, EFG Hermes — Aug 2026 – Sep 2026 (On-site)
  – Engineered High Frequency Trading Algorithms using Reinforcement Learning.
  – Designed the state-action space and reward functions for financial market environments.
• Researcher, The Scientific Research School of Egypt (SRSEG) — Dec 2024 – Apr 2026 (Remote)
  – 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, HERE Technologies — Sep 2025 – Dec 2025 (Hybrid)
  – 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, National Telecommunication Institute — 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, Oberlin College — Mar 2023 – Jul 2023 (Remote)
  – 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, PhD from Amherst College).

Technical Projects

• Image Matching Challenge 2025 (Kaggle Bronze Medal) — 3D Reconstruction & Point Cloud Generation Pipeline
  – 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) • 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