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Yue Yang

Intern Data Scientist specializing in GenAI (LLMs, RAG) and ML model optimization

SynopsysColumbia UniversitySunnyvale, CA1 Years ExperienceIntern Level

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About

Built and deployed a production LLM-powered risk assistant for KPMG and Freddie Mac that lets analysts query a confidential Neo4j risk graph in natural language (no Cypher), turning multi-day analysis into minutes with traceable, cited answers. Implemented rigorous guardrails, deterministic verification, RBAC/security controls, and a full eval/observability stack, cutting query error rate by ~50% and iterating through weekly UAT with non-technical risk analysts.

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Key Strengths

  • Deployed production LLM risk assistant over confidential risk data for KPMG/Freddie Mac
  • Graph + LLM architecture enabling natural-language querying of Neo4j without Cypher
  • Strong hallucination/accuracy mitigation (schema maps, cite-or-drop, deterministic verification, numeric self-checks)
  • Built robust reliability/performance features (RBAC, sanitization, rate-limit handling, retries/backoff, caching) in locked-down environments
  • End-to-end observability and evaluation practice (latency P50/P95, token/cost logs, error taxonomy, prompt/version tracking, offline+online evals)
  • Quantified impact: reduced multi-day manual workflow to minutes; cut query error rate by ~50%
  • Effective collaboration with non-technical stakeholders via whiteboarding intents, success metrics, and weekly UAT iterations

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Experience

Technical-Engineer Intern(Machine Learning), Technology & Product Development Group (TPG)Synopsys · May 2025 – Aug 2025internship
GenerativeAI Capstone Group LeadKPMG x Columbia University, Data Science Institute · Jan 2025 – May 2025
Generative AI InternMusicNBrain · Jul 2024 – Oct 2024internship

Education

Columbia Universitymaster, Data Science (2025)
UCLAbachelor, Applied Math (2024)

Languages

English

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Yue YangIntern Data Scientist specializing in GenAI (LLMs, RAG) and ML model optimization