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Sahithi Reddy
Mid-level Machine Learning Engineer specializing in LLM-powered products
Dallas, TXMachine Learning Engineer4 years experienceMid-LevelTelecommunicationsFinancial ServicesFinTech
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About
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.
Experience
Machine Learning EngineerVerizon
Data Analyst Intern (ML Focused)Volvo Group
Machine Learning EngineerFactSet
Associate Machine Learning EngineerEnt Logics Pvt. Ltd.
Education
University of Massachusetts, Dartmouthmaster, Computer and Information Sciences
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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