Computer vision and deep learning solutions for transportation, media, and finance
OxygenAI is a small AI-focused team in Bangkok building computer vision and deep learning products. The tech stack (Python, MongoDB, PostgreSQL, Docker, Kubernetes) reflects a data-pipeline-heavy operation, while active projects cluster around CV data transformation, security features, and CI/CD automation. Pain points center on data quality—cleaning CV-generated noise and detecting bias—suggesting they're scaling from proof-of-concept work into production systems where data integrity and test reliability matter.
OxygenAI develops AI solutions combining computer vision, deep learning, and data science for organizations in transportation, media, and finance. The team comprises AI researchers, data scientists, and software engineers operating from Bangkok. Current work spans CV-based data pipelines, security feature development, and infrastructure automation (Kubernetes, OpenShift, infrastructure-as-code). Active hiring across engineering and data roles indicates growth phase, with recent expansion into Canada.
Primary stack: Python, MongoDB, PostgreSQL, JavaScript, Go, Angular, TypeScript. Infrastructure: Docker, Kubernetes, OpenShift, Ansible. Version control via Git.
Data quality challenges (cleaning CV-generated data, noisy outputs), bias detection in datasets, flaky test infrastructure, and feedback loop speed—typical scaling bottlenecks for production CV systems.
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