Open to opportunities

Mostafa Amini

@mostafaamini

Message

AI/Data Scientist specializing in operationalizing LLMs, agentic systems, and scalable ML infrastructure.

United States

Message

What I'm looking for

I seek roles where I can architect and operationalize LLMs and agentic systems at scale, within regulated environments, emphasizing safety, governance, and measurable product impact.

I am an AI and data scientist with extensive experience building production LLM systems, multimodal models, and agentic workflows for research and operational use in regulated environments.

I have led end-to-end development of retrieval-augmented generation pipelines, vector search, and tool-using multi-agent architectures that improved throughput, accuracy, and cost-efficiency across healthcare and federal contexts.

I designed and operated data and analytics infrastructure—BigQuery, Redshift, Snowflake, ETL, observability, and PHI/PII protections—delivering measurable impacts such as 95%+ extraction accuracy, 60% reduction in handle time, and major ETL cost and latency improvements.

I also contribute to AI governance and interdisciplinary research connecting legal reasoning with practical governance for high-stakes AI, and prioritize safe model transitions, evaluation harnesses, and human-in-the-loop controls.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Harvard Medical School

Jan 2019 - Present (7 years)

Led end-to-end development of LLM and multimodal systems for Harvard-affiliated hospitals, deploying RAG pipelines and agentic workflows that served thousands of weekly queries while improving accuracy, latency, and reliability in regulated environments.

LLM RAG Pinecone Faiss BigQuery ETL PHI PII Governance

Data Scientist

U.S. Department of the Interior

Led migration of legacy analytics stacks to cloud warehousing and built unified schemas and monitoring to improve reliability, traceability, and self-service analytics for federal stakeholders.

Data Warehousing ETL Data Modeling Monitoring Redshift BigQuery

Data Analyst

University of Chicago

Built quantitative research datasets, regression models, and reproducible visualizations for faculty projects using survey and administrative data to support academic research.

Regression Modeling Data Cleaning Survey Data Visualization R Python Documentation

Senior Data Analyst

Presbyterian Health Plan

Designed reporting and early ML analyses to evaluate program performance and identify drivers of cost and quality variation for payer operations.

Reporting Cost Analysis SQL Data Visualization Healthcare Analytics

Data Specialist

Apple

Supported macOS/iOS ecosystems by streamlining device provisioning, diagnostics, and secure workflows to improve repair pipelines and operational efficiency.

MacOS iOS Troubleshooting Diagnostics