Machine Learning - NLP Engineer

Machine Learning Engineer with 4+ years’ experience delivering scalable ML, NLP and automated 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 automated pipelines

Open to roles in machine learning engineering, NLP, data engineering or AI product development, bringing strong technical depth and production‑ready delivery.