Cuong do

Background

About Cuong do

Accomplished Principal Data & AI Scientist with years of experience in developing innovative AI/ML solutions and leading teams in both industry and academic settings. Honored Professorship (2021), and US Government National Exceptional Ability Researcher recognition (2011). Proven track record of architecting/developing/deploying cutting-edge AI solutions to drive business solutions and enhance customer experiences. Experienced in project management, team leadership, and stakeholder engagement. Experienced in startup initiatives in both industry and academia worlds. Experienced in institutional and international community Data Science & AI activities.Research interests: Machine Learning & Deep Learning in Computer Vision & NLP, Large Language Models, Generative AI, Recommender Systems, Reinforcement LearningTechnical skills• Hands-on in AI/ML, Data Mining, Data Structures & Algorithms, Big Data, Deep Learning for Computer Vision and NLP, Generative AI - RAG/LLMs, Reinforcement Learning, Optimization• MLOps: Docker, Kubernetes, MLFlow, Airflow, Azure, Databricks, GCP, IBM, CDSW, AWS, Elasticsearch, HPC• Big Data: Hadoop, Spark, Hive, Pig, BigQuery, BigQueryML• Databases: Oracle, MySQL, MSSQL, Postgres, GreenPlum, Cassandra, Neo4j• Software development: Python, R, Java, C#, MATLAB, SAS, VBA, VB.NET, PHP, jQuery, CSS, HTML5, Bootstrap• Data Science & Software Development Life Cycles, GitHub, Bitbucket• 30 applied ML research papers with approximately 300 citations, 1 invited article, 1 US patent, keynote talks, National Exceptional Ability Researcher Recognition & various institutional awards & international fellowships