Open to opportunities

Yixuan Gu

@yixuangu

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Staff ML engineer specializing in large-scale recommender systems, RAG moderation, and AI agents.

United States

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What I'm looking for

I seek roles building production ML systems and AI agents at scale, with emphasis on observability, safe LLM integration, and cross-team impact.

I am a Staff Machine Learning Engineer with deep experience building large-scale data pipelines, multi-stage recommendation systems, policy-aware RAG moderation platforms, and production AI-agent architectures. At Glassdoor I architected Aquila, a LangGraph-based AI support agent, built the Atlas multi-stage job recommender, and led cross-brand moderation (Sentinel) that combined policy retrieval with LLM classification and automated escalation.

Previously at Cotiviti I designed Spark ETL for multi-terabyte healthcare claims, implemented analytics and validation systems, and delivered full-stack tools with REST/GraphQL backends and React dashboards. I focus on reliable, observable production systems, hybrid retrieval and ranking (BM25 + ANN), and safe, auditable LLM integrations that reduce manual effort and improve user outcomes.

Experience

Work history, roles, and key accomplishments

Current

Staff Machine Learning Engineer

Current

Glassdoor

Jul 2019 - Present (6 years 11 months)

Architected and delivered production ML systems including a LangGraph-based AI support agent (Aquila), multi-stage job recommender (Atlas), and a cross-brand policy-aware RAG moderation platform, improving automation and moderation accuracy across Glassdoor and Indeed.

Python PyTorch LangGraph OpenSearch RAG Multi Stage Ranking Kubernetes Prometheus

Software Engineer

Cotiviti

Nov 2015 - Jul 2019 (3 years 8 months)

Designed and maintained Spark ETL pipelines for multi-terabyte healthcare claims datasets and built full-stack analytics portals to surface payment integrity insights for internal teams and clients.