PROJECTS
CYBER SECURITY
Problem: A vulnerability assessment and penetration test was needed for an application that was to serve as a network function in a 5G environment, deployed on bare metal and Kubernetes.
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Solution: We studied the specifications, standards and flows and crafted a thread model for the application and infrastructure as well as an attack plan based on the thread model. A thorough penetration test was conducted on all fronts and the gaps that were found were closed in collaboration with the client.
Outcome: The client had a secure, resilient network function that was resistant to abuse even if other network functions were compromised.
DATA INFRASTRUCTURE
Problem: The challenge was in modernizing the existing data warehouse and improve availability of data to near real-time as well as improved responsiveness without compromising scalability.
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Solution: We followed an ELT approach to address the challenge including database change data capture (CDC) and continuous replication with cloud data storage in appropriate warehouses and in place data transformation.
Outcome: We migrated from on-premise DWH and ETL pipeline to cloud-native DWH and ELT pipeline. End to end time-to-insight was reduced from 24 hours to 30 minutes.
INDUSTRIAL ANALYTICS
Problem: To build customer specific reporting dashboards leveraging industry standard products. This would facilitate complex ETL jobs in cloud, both for structured and unstructured sources.
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Solution: We leveraged the product components and workflows to generate a deterministic data set and custom dashboards. We also redesigned the workflow utilization and built re-usable component services using Spark, Hive, and Spotfire amongst others, hosted on Azure.
Outcome: We migrated the on-premise database and pipeline to an enterprise datalake on cloud with performance optimization.
CONVERSATIONAL AI
Problem: The challenge was to build a complete conversational AI platform that would enable business to launch virtual assistants.
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Solution: We built a low-code platform for creating virtual assistants supporting multiple languages. This enabled omnichannel e-commerce, including integration with e-commerce store providers such as Shopify, Magento, Whatsapp as well as Google Voice.
Outcome: Several major customers in Europe were enabled through this platform. Specific regional problems were solved through large scale microservices connecting to proprietary platforms.
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