Hi there, I'm Shek Lun Leung (Alan) 👋

Quantum Engineering Physics @ KTH | AI Researcher | Technical Director

Bridging the gap between theoretical physics, machine learning agents, and scalable software systems.

🚀 About Me

I am a Master of Science student in Engineering Physics (Quantum Technology) at KTH Royal Institute of Technology, specializing in the intersection of High-Performance ML (JAX/PyTorch), Quantum Information, and AI Safety.

My work focuses on optimizing complex systems—from accelerating Quantum Key Distribution (QKD) speeds by 270x to architecting optical Ising machines for NP-hard problems. I am passionate about building autonomous agents and exploring the physical limits of computation.

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🔬 Featured Research & Technical Projects

Project	Description	Tech Stack
Explainable Brain MRI	Clinical-grade tumor classification using Grad-CAM++ and Gemini 1.5 Pro for automated radiologist reporting and visual verification.	PyTorch Grad-CAM++ Gemini AI
Photonic Ising Machine (Self-Directed)	Architected an optical Ising machine using Spatial Light Modulation (SLM) to solve NP-hard combinatorial optimization problems.	Python Opics Optimization
ML for QKD Optimization	Designed a hybrid JAX/PyTorch pipeline for real-time parameter prediction in quantum networks, achieving a ~270x speedup across 6,000 scenarios.	JAX PyTorch Quantum
Autonomy in AI: Subjectivity	Investigated the simulation-reality gap in LLM-powered humanoid robots and proposed accountability frameworks for autonomous agents.	AI Safety LLMs Research
Post-Quantum Cryptography	Implemented and analyzed Lattice-based cryptography (Kyber/Dilithium) to secure communications against future quantum computer attacks.	Cryptography Python Security
Small Language Model (SLM)	Built and fine-tuned lightweight language models for specialized reasoning tasks, focusing on efficiency and low-resource deployment.	LLMs PyTorch Transformer
Numerical Analysis of Glacier Flow	Developed a Non-Linear 2D simulation of the Arolla Glacier using FEniCSx, solving non-Newtonian fluid dynamics with Picard iterations.	FEniCSx FEM Physics
Qiskit Certification Examples	Comprehensive notebooks and tutorials for the IBM Qiskit Developer Certification, focusing on primitive migration and circuit mechanics.	Qiskit Education Quantum
Nonlinear Dynamics & Chaos	First-principles derivation of nonlinear ODEs and automated measurement of the Feigenbaum constant ($δ = 4.67 \pm 0.08$).	Physics Chaos Theory

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🛠 Technical Arsenal

Quantum & Physics

AI & Machine Learning

Engineering & Core

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💼 Leadership & Experience

Technical Director | DreamToDone

(Oct 2025 – Present)

• Architecting an AI reasoning ecosystem or creative workflows.
• Finalist for the KTH Innovation/SSE pitch competition.

Technical Lead (Hackathon) | Grant Seeker AI

(Oct 2025 – Present)

• Designed a multi-agent ecosystem using Google ADK & Gemini Flash.
• Implemented sequential orchestration for automated proposal generation.

CTO & Co-Founder | Metvibee AB

(2023 – 2024)

• Led technology strategy and AR prototype development for urban planning.
• Managed full-stack R&D and stakeholder technical demonstrations.

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🏅 Honors & Awards

• 🏆 Winner, IBM Qiskit Global Hackathon (2020)
• 🌍 National Winner, International Physicists' Tournament (2022)
• 🏅 IBM Qiskit Advocate & Certified Developer
• 🤝 QAMP 2025 Mentee (Quantum Certification Tutorial Development)
• 🎙️ Technical Mentor, Qiskit Hackathon Taiwan (2021)

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