Architecture and solution design
Document requirements, system boundaries, technology choices, risks, and the implementation plan.
Practical Data and AI systems, from design to production.
CALMWORKS works with startups and enterprises on data and AI architecture, implementation, and training. We specialise in AI agents, Databricks, data platforms, and data science in production.
What we do
Solution design, implementation, and training for technical teams.
We help define the technical approach, implement a production system, or work within an existing team on a specific technical problem. When needed, we provide training and documentation for deployment, maintenance, and future changes.
Hands-on implementation
Build agents, data platforms, ML workflows, APIs, evaluation systems, and production infrastructure alongside your internal team.
Training and handover
Provide workshops, paired implementation, documentation, and technical reviews for internal teams.
Portfolio
Data platforms, cloud architecture, machine learning, and agent systems.
This includes published case studies from Celeste's previous roles and current CALMWORKS engagements.
PayNet · AWS data platform
Cloud data platform for Malaysia's national payments network
Designed and built a scalable AWS data platform for PayNet, Malaysia's central payments infrastructure.
Published case study
Databricks
bolttech · Databricks
Machine learning for sales optimisation
Built ML-based sales optimisation for a global insurtech using Databricks model registry and serving.
Published case study
Azure
Databricks
NTT COMWARE · Azure + Databricks
Azure and Databricks data platform for a major Japanese IT services company
Designed the data platform architecture and migration approach using Azure and Databricks.
Published case study
Greenfield digital bank · UAE
Data architecture and agent systems for a new digital bank
Designing the data architecture and agent capabilities for a bank being built from the ground up.
Current work
Legal technology startup
Multi-agent and voice-agent product architecture
Designing agent architecture, evaluation, and UI/UX for a legal technology product.
Current work
About the team
Led by Celeste Ang.
Celeste is a data scientist, AI consultant, and instructor with nine years of experience across enterprise data platforms, machine learning, and agent systems. She has earned 11 cloud and data certifications, including five Databricks certifications, and has years of teaching experience in mathematics, coding, and data architecture.
5
Databricks certifications
11
Cloud and data certifications
Global
Work across Asia, the UAE, the US, and the UK
Hands-on
Architecture through implementation
How we work
Technical reviews, implementation projects, or ongoing support.
The scope and duration depend on the work. These are the most common starting points.
Technical review
Pressure-test the architecture, surface risks, and leave with a practical decision or implementation plan.
1–2 weeksImplementation project
Design and build a defined system or feature, with testing, documentation, training, and handover included.
4–8 weeksEmbedded support
Add senior hands-on capacity for architecture, implementation, technical leadership, and team enablement.
1–6 monthsContact us
Tell us about the system or product you are building.
Share the problem, your current technical setup, and the help you need. We will reply with relevant questions and a proposed scope.