01 / SELECTED EXPERIENCE
Selected engineering experience across enterprise data, institutional integration and applied AI.
DATA / CLOUD
Legacy data architecture and fragmented pipelines.
Designed cloud-native data pipelines and lakehouse architecture supporting large-scale enterprise and research datasets.
Improved scalability, maintainability and data reliability.
SOFTWARE / INTEGRATION
Multiple institutional systems requiring reliable integration.
Designed and developed secure integrations between student, CRM and enterprise applications.
Improved data flow, automation and operational reliability.
AI / KNOWLEDGE
Users needed faster access to knowledge spread across enterprise documents and data sources.
Designed a secure Retrieval-Augmented Generation platform using enterprise documents, embeddings, vector search and generative AI.
Improved information discovery and reduced manual knowledge searching.
02 / HOW WE WORK
We understand the business problem, existing architecture, constraints and outcomes required.
We define the architecture, technology choices, delivery approach and implementation plan.
We engineer, automate, test and deploy the solution using modern delivery practices.
We support documentation, knowledge transfer, optimisation and ongoing engineering.
LET’S BUILD SOMETHING THAT WORKS
Talk to VRSABHA about your project and we can explore the right technical approach.
