Prasanna Santhanam
Lead Data & AI Architect
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolPrasanna Santhanam is a Lead Data & AI Architect based in London with 14 years of hands-on experience designing petabyte-scale data platforms and pragmatic GenAI architectures that bridge the "last mile" between models and enterprise production systems. At KPMG UK he shapes firm-wide AI archetypes and agentic frameworks to ensure secure, compliant, and highly available GenAI deployments aligned to 2026 regulatory expectations. His background spans financial services and energy, leading multi-cloud cybersecurity and analytics platforms at HSBC and bp that ingested hundreds of telemetry sources and improved threat detection through ML in production. Prasanna combines enterprise architecture with developer-level muscle — he still prototypes hobby projects on GitHub and has contributed to notable open-source tooling like kube-shell and Apache CloudStack testing. He is skilled at translating C-level risk priorities into scalable data and AI solutions, with a pragmatic focus on observability, governance and data residency. His work uniquely marries deep operational reliability experience with emergent agentic AI design patterns.
13 years of coding experience
16 years of employment as a software developer
PG Artificial Intelligence and Machine Learning, PG Artificial Intelligence and Machine Learning at The University of Texas at AustinMS Information Technology, MS Information Technology at Bharathidasan University
English, Tamil, Hindi
Github Skills (18)
kubernetes10
volumes10
python10
autocomplete10
test-framework10
kubectl10
apache-cloudstack10
command-line-parser10
kubernetes-pods10
command-line10
management10
test-automation10
fuzzy-search9
kvm9
networking9
Programming languages (8)
Github contributions (5)
apache/cloudstack
Sep 2012 - Oct 2013
Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
Role in this project:
Backend & Test Automation Engineer
Backend & Test Automation EngineerContributions:305 commits in 1 year 1 month
Contributions summary:Prasanna primarily contributed to improving the testing infrastructure and enhancing the reliability of the Apache CloudStack platform. They focused on the integration testing component, specifically refining existing tests and addressing issues related to volume management, networking (including Load Balancing), and virtual machine lifecycle, thereby improving the overall test coverage. Their work also involved incorporating and improving the test framework itself, with enhancements to error logging and handling.
pythonapache-cloudstackxcp-nghostingcloud-computing
cloudnativelabs/kube-shell
Jun 2017 - Jul 2017
Kubernetes shell: An integrated shell for working with the Kubernetes
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1 release, 24 commits, 2 PRs in 23 days
Contributions summary:Prasanna primarily focused on improving the portability and maintainability of the kube-shell project, making it compatible with both Python 2 and 3. They achieved this by refactoring imports, adjusting print functions, and ensuring all modules used unicode literals. Additionally, the user integrated Travis CI for automated builds and addressed dependency issues. They also implemented a parser for the kubectl command line, which involved building a syntax tree to enable command suggestions and autocompletion.
pythonintegratedkubectlkubernetesshell
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