Quy-Anh Dang

[1] BlogLocal MLOps Mastery: Your Complete Guide to Building ML Systems on Your Machine. A practical 8-week roadmap for mastering the full MLOps lifecycle—data versioning, experiment tracking, model APIs, monitoring, and CI/CD pipelines—using only free, local, open-source tools. June 3, 2025.

[2] BlogUnderstanding AUROC: A Mathematical and Practical Perspective. Dive into the AUROC metric—its mathematical foundation, interpretation, and practical pros and cons in evaluating binary classification models. May 3, 2025.

[3] BlogBias-Variance Tradeoff in Machine Learning. A rigorous mathematical decomposition of prediction error into bias, variance, and irreducible noise—with practical intuitions on how to balance them for better-generalizing models. May 3, 2025.

[4] BlogScaling AI Rewards: How DeepSeek-GRM Redefines Generalist Reward Modeling. DeepSeek-GRM introduces Self-Principled Critique Tuning (SPCT) and inference-time scaling to create flexible, accurate reward models that rival much larger LLMs in generalist evaluation tasks. April 13, 2025.

[5] BlogDo Reasoning Models Really Say What They Think?. A study exploring the faithfulness of chain-of-thought (CoT) in reasoning models. April 12, 2025.

[6] ProjectOpen-RS: Enhancing Reasoning in Small LLMs with Reinforcement Learning. An open-source project exploring reinforcement learning techniques to boost reasoning capabilities in small large language models. (Python, PyTorch, vLLM, Hugging Face). April 3, 2025.

[7] ProjectHomemade Machine Learning: A Hands-On Journey into ML Algorithms. An educational project featuring Jupyter notebooks to implement and understand machine learning algorithms from scratch. (Python, Jupyter, NumPy, Pandas, Scikit-learn, Matplotlib). April 2, 2025.

[8] ProjectVITS-Japanese: Text-to-Speech for Japanese. An implementation of VITS for Japanese text-to-speech, enabling single-stage training and parallel sampling. (Python, PyTorch, NumPy, Torch). April 2, 2025.

[9] ProjectNeurIPS LLM Efficiency Challenge 2023. Top 3 finish in NeurIPS 2023 LLM Efficiency Challenge, developing highly efficient LLMs under strict computational constraints. (Python, PyTorch, QLoRA, Transformers, PEFT). November 15, 2023.

[10] ProjectGrapheme-to-Phoneme (G2P) Conversion. Sequence-to-sequence model with attention mechanism for converting written text to phonetic representations. (Python, PyTorch, Sequence-to-Sequence, Attention Mechanism). June 1, 2022.