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Jay Patil
Mid-level Full-Stack AI/ML Engineer specializing in LLMs and intelligent systems
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About
Built a semantic search portal for a fellowship department and an AI-driven PR review pipeline, using AI selectively for boilerplate while retaining full ownership of architecture, security review, testing, and deployment. Has hands-on experience with multi-agent systems, monitoring, and security validation, with a notably disciplined approach to catching false positives and rewriting weak AI output.
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Key Strengths
- careful human review of AI-generated code
- security-focused validation and compliance checks
- built semantic search portal with embeddings and Firebase
- debugging and rewriting brittle AI-generated code
- designed AI-assisted PR review pipeline
- validated false-positive security findings with real exploit testing
- implemented monitoring with dashboards and alert thresholds
- experience with asynchronous multi-agent system architecture
- failure handling via retries and manual escalation
- practical awareness of latency tradeoffs in complex agentic workflows
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Experience
Education
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Publications
2 publications
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