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📧	linh@neuropurrfectai.co linhnguyen@u.nus.edu
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Linh (Kid) Nguyen, Ms.

Google Developer Expert (GDE) in AI/ML, first female GDE AI/ML in Vietnam

Top Artificial Intelligence (AI) Voice of LinkedIn ‘24

My journey in technology has been a fascinating evolution spanning over 13 years, shaped by a deep passion for Natural Language Processing (NLP), Machine Learning (ML), and Data Science. It all started with my childhood fascination with IBM’s Deep Blue – the first computer to defeat a world chess champion. I was captivated by how a machine could understand complex strategies and make decisions that could challenge the greatest minds in chess. This early wonder sparked a burning question that would define my career: how could machines understand and interact with human intelligence?

The complexity of language – with its nuances, context, and cultural variations – presented a fascinating challenge that drew me deeper into AI research. This journey began in pure data mining, but a pivotal internship at IBM in 2014 changed my trajectory forever. As a fresh NUS postgrad intern, I dove into the world of information extraction, NLP, and predictive modeling, watching in awe as innovations like IBM Watson built upon Deep Blue’s legacy, showing how machines could not just calculate, but understand and communicate.

That early exposure to AI’s transformative potential set me on a path that would define my career. From building my first chatbot in 2010 with just n-grams and probability to building GenAI applications at scale & at speed, each step has added new dimensions to my expertise. One of my proudest achievements was at Shopee, where I was in charge of the development and deployment of multilingual neural machine translation models that serves millions of customers across Asia and Latin America, breaking down language barriers in e-commerce.

Today, as Head of AI at Obello in San Francisco Bay Area, I lead teams in developing cutting-edge AI solutions, bringing together my technical foundation with over 7 years of hands-on experience in MLOps and software development cycles. The journey from simple chatbots to complex, production-scale AI systems has taught me the importance of building solutions that are not just technically sophisticated, but also practical and impactful. I also wear multiple hats that keep me at the forefront of AI innovation. As a Lead Research Engineer at DataScienceWorks Research Lab in Australia, I push the boundaries of what’s possible in AI research. I’m also the first appointed female Google Developer Expert (GDE) in AI/ML in Vietnam, joining a global network of more than 1,000 technical leaders and experts worlwide, and provide strategic advisory to various C-level executives, helping bridge the gap between cutting-edge AI technology and practical business applications.

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Key Skills

• Programming: Python, MATLAB, Java, C/C++
• NLP: Topic modeling, document summarization, extraction, categorization, sentiment analysis, dialogue systems, generation, and neural machine translation
• Machine Learning: Statistical modeling, probability theory, decision trees, ensemble methods, SVM, using frameworks like Keras, Gensim, scikit-learn, PyTorch, and TensorFlow
• Deep Learning: RNN, LSTM, CNN, MemN2N, BERT, and other Transformer variations (e.g., BART, GPTs)
• MLOps & ML Platform: End-to-end pipeline development with feature stores and serving pipelines using AWS SageMaker and Databricks in Datalake ecosystems
• Databases: SQL (PostgreSQL, MySQL, MSSQL), NoSQL (MongoDB), big data frameworks (Hadoop, Spark) and Vector Database for Semantic searching like Chroma DB, Qdrant, Pinecone
• Optimization: Expertise in mathematical optimization (convex/concave, linear problem, large-scale) and LLM optimization techniques (Unsloth, FlashAttention, PEFT, LoRA/QLoRA, Knowledge Distillation & Transfer Learning)
• LLM-RAG/Agentic LLMs Development: Full end-to-end offline and cloud LLM-RAG development & deployment using Langchain, LlamaIndex, Haystack, and LocalAI/Ollama
• Other GenAI Applications’ Development & Deployment: Graphic Design and Layout generation & evaluation, multilingual Text-to-SQL, and context-switching dialogue systems with Graph Neural Network.

Current Positions

Education

Selected Publications

1. “Aspect-based Automated Evaluation of Dialogues in Call Centers” - Knowledge-Based Systems Volume 279, 2023 (110901)
2. “A survey on empathetic dialogue systems” - Information Fusion (2020)
3. “Effectiveness of Online Peer Support Group and Its Interventions: A Case Study of Beautiful Mind Vietnam” - Regional Conference of Psychology, Vietnam (2017)
4. “Cyberbullying and its effects on Vietnamese youth” - Regional Conference of Psychology, Vietnam (2017)

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Past Experience

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