Professional Overview
I’m Wehan, an enthusiastic professional with a degree in architecture, bringing a unique blend of spatial reasoning, system design, and creative problem-solving to reinforcement learning. My background in designing complex structures has honed my ability to analyze and optimize intricate systems, making me a valuable contributor to developing advanced reinforcement learning models. Passionate about machine learning, I’ve pursued self-directed studies in reinforcement learning, focusing on its applications in decision-making and optimization. As a dedicated remote worker, I combine discipline, adaptability, and a collaborative spirit to contribute effectively to cutting-edge projects. I’m eager to leverage my architectural expertise and analytical mindset to drive innovation in reinforcement learning.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.