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Rushabh Thakkar
Mid-level Machine Learning Engineer specializing in NLP, computer vision, and LLMs
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Wayfair ML/AI engineer who has shipped and operated production LLM systems for both internal analytics and customer-facing assistants. Stands out for combining strong RAG/retrieval engineering with production-grade platform work—improving trust, reducing latency by ~30%, and cutting ad hoc reporting demand by ~50%.
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Key Strengths
- Owned production LLM systems end-to-end from prototype to deployment and monitoring
- Built RAG-based enterprise analytics assistant reducing ad hoc reporting requests by ~50%
- Strong retrieval quality optimization using embedding experiments, A/B testing, and human feedback
- Production ML infrastructure expertise across Kubernetes, autoscaling, blue-green deployments, and monitoring
- LLM performance optimization with QLoRA and vLLM, cutting latency by ~30%
- Balances model quality, latency, cost, and safety tradeoffs in production
- Designed reusable Python/FastAPI services adopted by multiple internal teams
- Implemented practical AI safety and trust features including grounding, fallback responses, and RBAC
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