Hello! I'm Raymond Lam, a Machine Learning Engineer specializing in building scalable ETL pipelines and robust ML systems on AWS.
My journey into Machine Learning began as a self-taught programmer, where I immersed myself in the world of Python, data analytics, machine learning, and deep learning through online platforms like DataCamp and Coursera. My professional career started at Hong Kong Productivity Council (HKPC) where I developed Anomaly Detection for industrial sensors at a smart manufacturing centre. Few years later, in Orient Overseas Container Line (OOCL), I had the incredible opportunities to truly shape my expertise in MLOps by participating in diverse ML projects like LLMs, NLP, recommendation engine, and Time-series forecasting. After several rewarding years of growth and accomplishment in Hong Kong, I made an exciting move to Toronto, seeking new challenges and growth opportunities beyond my comfort zone.
Finding a job in Canada is not as easy as in Hong Kong. In this blog, I would like to share the lessons I learnt along my journey. If you are a job seeker in Canada, a fellow data science enthusiast, or someone just beginning your journey, I hope my story encourages you to persist, stay curious, and keep believing in your abilities.
Keep your head up, stay motivated, and never stop learning.
As Steve Jobs famously said, "Stay Hungry, Stay Foolish".