About us
Meet the amazing team
Discover more about the people behind it.
We’re just getting started
We have already assisted hundreds of students in achieving remarkable results.
As seasoned full-stack data scientists and software engineers, we understand the full lifecycle of data-driven systems. Mastery in machine learning alone isn't enough; true expertise requires proficiency across data engineering and machine learning engineering.
Many data scientists lack essential engineering skills, leading to undeployed models due to integration challenges. Similarly, data engineers often miss broader principles beyond ETL pipelines and basic infrastructure.
To bridge these gaps, we created capydata.io. Our platform emphasizes the critical role of engineering within AI and data, offering an integrated curriculum that guides students from foundational ML algorithms to advanced engineering practices. Here's what you can expect:
- Data Engineering Fundamentals: Learn data ingestion, ETL processes, and data warehousing. Master batch processing with Apache Spark and real-time data streaming with Apache Kafka.
- Machine Learning Engineering: Go beyond model development to model deployment using Docker and Kubernetes. Gain expertise in CI/CD pipelines and MLflow for tracking experiments and managing model lifecycles.
- Big Data Technologies: Become proficient in distributed computing frameworks like Apache Spark and Flink. Explore NoSQL databases such as Cassandra and MongoDB for handling large-scale data.
- Cloud Data Solutions: Get hands-on experience with AWS, GCP, and Azure. Learn about their data services, including S3, BigQuery, and Azure Data Lake, for scalable data storage and processing.
- Data Infrastructure and Architecture: Design robust data architectures, understanding microservices, data lakes, and data mesh concepts. Architect solutions for fault tolerance, scalability, and high availability.
By integrating AI, data, and engineering, capydata.io provides a comprehensive understanding of data and machine learning systems, serving as an all-encompassing resource for mastering the entire spectrum of data science and engineering.
Meet our team
Our philosophy is simple — hire a team of diverse, passionate people and foster a culture that empowers you to do your best work.
Quan Dang
Founder & CEO
Quân is the founder of fullstackdatascience and MLOpsVN, a non-profit organization, with over 8 years of experience in machine learning system development for major companies, and has served as a Technical Reviewer for Packt Publishing.
Duc Tran
CTO
Đức is the technical leader at IPVM with over 7 years of experience in software engineering specializing in machine learning, holds a Bachelor's degree in Computer Science from Lehigh University (#47 US) and is pursuing a Master's degree at Georgia Tech (#7 CS in the US).
How we work at capydata
Our shared values keep us connected and guide us as one team.
Integrity
We are committed to honesty, transparency, and ethical practices in all that we do.
Innovation
We embrace creativity and constantly seek new ways to improve our products and services.
Collaboration
We believe that working together as a united front leads to the best outcomes for our clients.
Customer Focus
Our customers’ needs are at the heart of every decision we make and every action we take.
Excellence
We strive for the highest standards of quality and professionalism in all our work.
Continuous Learning
We're lifelong learners, always expanding our expertise to better serve clients.