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Sahithi Reddy
Mid-level Machine Learning Engineer specializing in LLM-powered products
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Verizon engineer who productionized an LLM-based personalization capability for a customer-facing digital platform, owning the path from success metrics through scalable APIs, A/B validation, and post-launch monitoring (latency/accuracy/drift). Experienced in diagnosing and fixing real-time LLM/RAG workflow issues under peak load, and in enabling adoption via tailored technical demos/workshops and sales support materials.
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Key Strengths
- Took an LLM personalization prototype to production on a customer-facing digital platform
- Defines success metrics early with product stakeholders
- Improves LLM output consistency and trust via prompt tightening, structured grounding, and guardrails
- Performance-focused: reduces latency through inference-path optimization and caching
- Systematic real-time troubleshooting using step-by-step tracing across retrieval, prompts, outputs, and integrations with logs/metrics
- Resolved peak-load production inconsistency by tightening retrieval filters, adding freshness checks and fallbacks without customer disruption
- Strong technical communication: tailors demos/workshops by audience level and provides actionable docs/code
- Effective sales partnership: builds tailored demos and materials to support closing deals and drives post-sale adoption/onboarding
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