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Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
Chicago, ILMachine Learning Engineer (Capstone)3 years experienceJuniorTechnologyArtificial IntelligenceE-commerce
ScreenedIdentity Verified
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About
Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.
Experience
Machine Learning Engineer (Capstone)Mintel
Business Intelligence Engineer Intern (Return&Recommerce Department)Amazon
Data Science Student ConsultantBreakthru Beverage Group
Data Science, Analytics InterneBay
Research Assistant (Supervisor: Prof. Luis Ceferino)Disaster Risk Analysis Lab
Education
Northwestern Universitymaster, Machine Learning and Data Science (2025)
New York Universitybachelor, Mathematics and Computer Science (2023)
Key Strengths
- Built and deployed a multi-agent GenAI analytics platform with LLM + RAG in production (Amazon returns org)
- Designed metadata catalog + freshness-signal layer to route queries to authoritative, up-to-date data sources and avoid stale SQL generation
- Operationalized 4 Apache Airflow DAG pipelines for large-scale datasets; improved decision cycle from ~6 months to ~1 week
- Reliability/observability focus in orchestration (retries, logging, error handling, monitoring/alerts)
- Defines measurable AI metrics (accuracy, success rate, latency, cost) and uses automated tests + simulations
- Detected production data distribution shift via monitoring and addressed drift by updating/retraining evaluation data
- Effective collaboration with non-technical PMs; translated business needs into an AI analytics solution and iterated via demos
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