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Yukta Chikate
Mid-level Machine Learning Engineer specializing in safety-critical and uncertainty-aware ML systems
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About
Built and productionized an LLM-powered assistant for company documents and support questions, focused on reducing time spent searching PDFs/policies/tickets while preventing hallucinations by grounding answers in approved sources. Demonstrates strong production engineering (Kubernetes/orchestration, caching, monitoring, fallbacks) plus security-minded permissioning and close collaboration with operations/support stakeholders.
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Key Strengths
- Built and deployed an LLM-based internal document/support assistant to production
- Improved answer reliability by constraining responses to approved company documents (reduced hallucinations)
- Production hardening: caching, monitoring/logging, and fallback behaviors for uncertain responses
- Designed for scale and reliability under concurrent user load
- Implemented permission controls so users only access authorized information
- Structured agent/workflow design with measurable evaluation (accuracy, latency, error rate) and edge-case testing
- Effective collaboration with non-technical stakeholders via demos, feedback loops, and plain-language communication
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2 publications
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