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Akhil Kunala
Mid-level Software Engineer specializing in backend systems and cloud-native FinTech
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Amazon engineer with 5+ years of experience who built an AI-assisted log investigation and triage workflow that cut debugging time by about 30% during on-call incidents. Combines observability tooling like CloudWatch and Splunk with Python, prompt engineering, and RAG-based diagnostics, and has practical experience orchestrating agentic AI workflows with a strong human-in-the-loop reliability focus.
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Key Strengths
- Built AI-assisted log investigation workflow at Amazon
- Reduced debugging time by ~30% during on-call incidents
- Strong human-in-the-loop validation mindset for AI outputs
- Designed end-to-end orchestration for AI-assisted triage systems
- Hands-on experience with RAG for context-aware diagnostics
- Applies AI pragmatically as a productivity tool rather than blindly trusting outputs
- Rapid prototyping approach to evaluating new AI trends
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