Machine Learning Engineer / Data Scientist
Alvin has 5+ years of experience in data & AI. He has worked in startups (Chatbot & Retrieval Engine, Crypto AI), IT research labs, & corporate environments (Financial Sector), giving him a broad perspective on data team operations across various environments & fields. His stack spans from Data Science (PyTorch, Scikit-learn, MongoDB, SQL), LLM frameworks (LangChain, LlamaIndex, LangGraph) to daily cloud operations and analytical dashboards. Although experienced with diverse tools, he believes that technology stacks are merely instruments to solve real problems. He now works at Artefact, one of the world's leading data science consulting firms.
Discover how to design intelligent chatbots that can reason, generate, and execute tasks autonomously using LangGraph, enabling more dynamic and practical AI applications.
Learn how to combine vector and keyword search to deliver more accurate and efficient retrieval systems, and understand why hybrid approaches are becoming essential in modern data-driven applications.
Learn how to automate model deployment on Google Cloud Platform using CI/CD pipelines, ensuring faster iteration, reliability, and scalability for your AI applications.
Discover best practices for structuring your data science code, organizing reusable components, and transitioning smoothly from experimentation in notebooks to scalable, maintainable production systems.
Understand why artificial intelligence is more likely to transform the way we work, creating new opportunities and redefining roles, rather than completely eliminating human jobs.