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.
Paylater default prediction using Gradient Boosting & CRISP-DM Framework
End-to-end ML pipeline (training + FastAPI inference + Docker deployment + PyTorch-Tensorflow comparation)
AI chatbot + blockchain-powered event-tech platform (LangGraph, Autogen, crewAI, GCP, Azure)
Classification with XGBoost (3rd place on AI Planet leaderboard)
Efficient sales routing for 1M+ rows (Python, OSRM, Docker, Jenkins)
Unsupervised regrouping + routing (Streamlit, MongoDB, Docker CI/CD)
Built with Streamlit (Untukmu.ai)