Agi Thomas is a Principal Engineer based in Bengaluru with over a decade of engineering experience and four years focused on observability and cloud-native SRE roles. Currently at Elastic, she architects enterprise-grade observability and AI/ML solutions, working on Elastic Agent integrations, agentic workflows, generative AI, RAG, LLMs, and vector database applications for monitoring use cases. Her background spans SRE for large-scale Cortex Data Lake infrastructure, designing alert management and UI automation dashboards, and building anomaly-detection platforms using unsupervised ML with ELK. She combines deep hands-on systems work—from GKE and public cloud reliability to log-analysis engines—with applied data-science training (MTech in Data Science and MS in Software Systems). Colleagues rely on her to translate complex observability problems into pragmatic, production-ready architectures that reduce cloud cost and noise while surfacing meaningful signals. An under-the-radar strength: she repeatedly bridges research ideas and operational realities, shipping tooling that both empowers SRE teams and scales in enterprise environments.
4 years of coding experience
14 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Mahatma Gandhi University
Contributions:752 pushes, 307 branches in 2 years 11 months
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