Shane Lee
Portfolio
Role_Designation
Software Engineer
& AI Researcher
Core_Specialty
Bridging theoretical complexity with high-performance automated systems.
About
Me.
Engineering intelligence at the intersection of Research and Production.
I am a Computer Science (Honours) student at Adelaide University. My research is focused on Causal Inference within Large Language Models (LLMs)—investigating the transition from pattern matching to logical reasoning.
I operate at the dual-layer: as a Researcher, I develop frameworks to identify causal pathways in transformer architectures; as a Software Engineer, I architect the high-concurrency pipelines and distributed systems required to scale these experiments in production environments.
Driven by the "How" — identifying bottlenecks to make systems run 10x faster and 10x smarter.
Research_Focus
- Causal Inference
- Large Language Models
Systems_Focus
- High-Concurrency
- Automation Infra
Current
Skillset.
// Core_Philosophy: I am a life learner, constantly acquiring new knowledge to identify and solve new problems.
Selected
Projects.
Projects in automation, predictive modeling, and system architecture.
System_Build
Verified_2025
FIFA Market Trading Signaller
Engineered a high-concurrency data pipeline using Asyncio and BeautifulSoup to ingest real-time market volatility data into MySQL. Developed a predictive pricing engine that utilized historical back-testing to trigger automated Discord alerts. The system bypassed anti-scraping protocols via rotating headers and semaphores, achieving a 375% ROI (1.5M profit) within 60 days. Deployed on PythonAnywhere for 24/7 headless monitoring and 99.9% signal uptime.
System_Build
Verified_2025
Poker Engine
Optimised Poker Engine that simulates millions of random possible hands given the community cards and the hand the hero (user) has. Returns the total win rate from these simulations.
System_Build
Verified_2025
Text Editor
Built a Text Editor with redo and undo functionalities using SDL2 through Piece Table data structure.