Principal Architect & Advisor with 10+ years of leadership at the intersection of high-velocity cloud platforms, automated security, and data ecosystems. I translate complex technical innovation β GenAI, AIOps, agentic systems, and LLMOps β into resilient corporate infrastructure that drives business growth while maintaining strict enterprise governance.
My career is defined by spearheading organization-wide transformations, establishing global engineering standards, and acting as a technical force multiplier β bridging executive leadership and engineering teams to balance innovation with regulatory compliance.
As an active open-source author, I build tools that automate compliance, streamline platform delivery, and securely integrate AI with enterprise infrastructure.
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Production-grade tools at the intersection of AI, security, and platform engineering β designed to be deployed inside real enterprises. Pinned and most-active repos, updated from github.com/Htunn.
| AI Agents & AIOps | ||
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| Project | Stars | Stack / Links |
| offensive-ai (offsec-ai on PyPI) | ||
| aiops-orchestrator | ||
| aiops-platform-agent | ||
| invoke-sunstrike | ||
| InferMesh | ||
| simple-cicd-translator | ||
| Platform, Security & Compliance | ||
|---|---|---|
| Project | Stars | Stack / Links |
| Open-Compliance-Platform | ||
| ansible-inspec | ||
| simple-waf-scanner | ||
| simple-service-bus | ||
| simple-faceid | ||
| Data Engineering & ML | ||
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| Project | Stars | Stack / Links |
| Data-Engineering β 30 Databricks modules | ||
| ml-training | ||
- DevSecOps at scale β Authored automated supply-chain security (SBOM, SAST/DAST) across enterprise SDLCs, delivering 60%+ reduction in MTTR.
- Multi-cloud strategy β Defined vendor-agnostic AWS + Azure architectures preventing lock-in while optimizing large-scale cloud spend.
- Platform engineering β Built and scaled Internal Developer Platforms enabling self-service infrastructure, reducing deployment time by ~70% while maintaining security & compliance.
- GenAI productionization β Translated AI research into governed enterprise systems with LLMOps, observability, and model risk management.
- OSS authorship β Published production-grade tooling in Python, Go, and Rust spanning AI agents, compliance, and security testing.
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AI Β· GenAI Β· Agentic ML Β· Data Data Engineering Β· Databricks Languages & Frameworks |
Cloud & Platform DevSecOps & Observability Security & Compliance |
I publish hands-on, production-tested writing at blog.htunnthuthu.com β Tech With Htunn:
- GenAI & agentic systems β beyond demos to enterprise-ready architectures
- LLMOps & AI security β prompt injection, data leakage, OWASP LLM Top 10
- Platform engineering & SRE β IDPs, golden paths, paved roads
- DevSecOps & multi-cloud β security as code, not afterthought
Open to conversations on enterprise GenAI strategy, agentic platform architecture, LLMOps & AI security, IDPs, and multi-cloud transformation β and to OSS collaborations at the AI Γ platform Γ security boundary.
Translating frontier AI into governed, enterprise-grade platforms β secure, observable, and built to scale.





