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.
Peter is a designer, and he decided to use an AI for his work. Most of the case he manages. But his new task is now needs human creativity and cant be generated by AI.
Here we can conclude that, Peter is still needed, and secondly, the AI needs improvement. How to improve? So as always, more data is good. If an AI company wants to improve its program quickly, the easiest way is to ...