Machine Learning - NLP Engineer

Machine Learning Engineer with 4+ years’ experience delivering scalable ML, NLP, and data‑pipeline solutions across retail, finance, and HR domains. Strong capability in end‑to‑end model development, cloud‑native deployment, and automation for high‑volume, data‑driven environments.

Delivered LLM‑based product‑attribute extraction and price‑rule violation detection at Dunnhumby, improving retail data quality and compliance. Built recommendation engines, sentiment‑analysis tools, and financial‑data extractors, combining classical ML with modern deep‑learning approaches. Led a 10‑member engineering team to build a geospatial property‑intelligence platform integrating transaction, demographic, and spatial datasets.

Expert in Python, TensorFlow, Scikit‑learn, PySpark, SQL, and cloud platforms (AWS, Azure, GCP). Skilled in data visualisation and storytelling using Tableau, Seaborn, and Plotly, enabling clear communication of insights to technical and non‑technical stakeholders. Holds an MSc in Astrophysics (Germany) and BSc in Physics (CUHK), with AWS and Azure certifications.

Fluent in English, Cantonese, and Mandarin, with conversational German (A2). Passionate about generative AI, deep learning, and building robust, automated pipelines that support data‑driven decision‑making.

Open to roles in machine learning engineering, NLP, data engineering, or AI product development, bringing strong technical depth, cross‑functional collaboration, and a track record of delivering production‑ready ML systems.