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Apnav Poptani
Senior Software Engineer specializing in distributed systems, compliance, and healthcare platforms
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About
Engineer using AI deeply in real production workflows, not just for code generation: they built agents for PR reviews and incident debugging that reportedly reduced review time by 50% and sped root-cause analysis by 30%. They also designed a three-agent personalization pipeline for real-time navigation curation, showing hands-on experience with multi-agent systems, orchestration, and rule-based refinement.
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Key Strengths
- Built and configured AI agents for day-to-day engineering workflows
- Cut PR review time by half using AI-assisted review process
- Improved root-cause analysis speed by 30% for Sev1/Sev2 issues
- Designed a multi-agent personalization pipeline
- Strong production debugging and incident-management discipline
- Iterative, metrics-driven rule refinement for agent performance
- Combines AI automation with human second-pass review for quality control
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