CENDAS
Powercode Group supplied four Full-Stack Engineers who joined CENDAS’s existing development teams and worked within its architecture and established processes.
Qube
Senior ML expertise from chatbot development to production deployment
Powercode Group supplied one senior machine learning architect to work alongside Qube’s engineering and data teams. From July to December 2025, the specialist contributed to chatbot development, data pipelines, machine learning operations and cloud deployment, followed by documentation and knowledge transfer.
Client background
Qube was a startup working in AI and business intelligence. Its engineering and data teams needed senior machine learning expertise for chatbot development and the supporting data and deployment work.
Challenge
The client needed a senior specialist to develop chatbot capabilities and the engineering foundations around them. The scope included data pipelines, cloud environments, deployment workflows and handover to the team.
Solution
Powercode Group supplied one senior machine learning architect from July to December 2025. The specialist worked alongside the client’s teams on chatbot development, data pipelines, cloud deployments and documentation.
Results
The chatbot reached development and production environments. The engagement also delivered documented data pipelines and infrastructure, with knowledge transfer to support the client’s team as it continued the work.
Qube needed senior machine learning expertise during an early stage of its chatbot work. The requirement covered both the chatbot and the data, infrastructure and deployment work needed around it.
Powercode Group supplied one senior machine learning architect from July to December 2025. The specialist worked alongside Qube’s engineering and data teams using Python, React and Google Cloud. The scope included chatbot development, data pipelines, machine learning operations, Cloud SQL PostgreSQL and deployment to development and production environments.
Documentation and knowledge transfer formed part of the engagement, supporting the client’s team in understanding the delivered work and continuing its development.
- AI / Business intelligence
- Staff augmentation
- 1 senior machine learning architect
- July–December 2025
- Python / React / Google Cloud
Explore our AI and machine learning specialists.
The challenge
Qube needed senior machine learning expertise for its chatbot and the engineering work around it. The scope included data pipelines, cloud deployment and machine learning operations, followed by documentation and knowledge transfer to the client’s team.
Implementation
- Embedded one senior machine learning architect alongside the client’s engineering and data teams.
- Developed chatbot capabilities using the project’s Python, React and Google Cloud stack.
- Built data pipelines for extracting, transforming and loading data.
- Worked on machine learning operations and supporting deployment workflows.
- Supported Cloud SQL PostgreSQL and cloud infrastructure within the agreed scope.
- Deployed chatbot work to development and production environments.
- Documented the delivered work and supported knowledge transfer and handover.
Result
feedback
feedback
CLIENT TESTIMONIAL
What Qube says
Clutch5.0 / 5 client rating
“They understood the situation and requirements of the startup and delivered the best fit.”
Read the full client review on Clutch · 21 January 2026
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