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Devang Borkar
Mid-level AI Engineer specializing in LLM agents and evaluation systems
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About
Built an end-to-end Python integration for an emotion-aware presentation feedback system that processed uploaded or live video and analyzed facial emotion, tone, and gestures. Also has Playwright automation experience in a loan management workflow, with emphasis on reliability, observability, security, and iterative delivery under ambiguous requirements.
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Key Strengths
- end-to-end production integration delivery
- asynchronous architecture using callbacks/webhooks instead of polling
- reliability engineering with testing, retries, and exception handling
- observability with Prometheus and Grafana
- security-conscious data handling with encrypted S3 storage
- Playwright-based automation for complex multi-stage workflows
- iterative stakeholder-driven delivery for ambiguous processes
- debugging flaky automation via trace analysis and targeted hardening
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Experience
Education
Skills
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Publications
1 publication
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