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Aman User

@amanuser18

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Senior AI Engineer specializing in healthcare GenAI, LLM/RAG, agentic workflows, and production ML systems.

United States

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What I'm looking for

I’m looking to build measurable healthcare and fintech AI that’s safe in regulated data, excels with LLM/RAG and agentic automation, and ships into production—evaluation-first, privacy-aware, and explainable for operational and executive teams.

I’m a Senior AI Engineer with 10+ years building healthcare AI, fintech AI, machine learning, GenAI, RAG, agentic AI, and production decision-support systems across Amazon, Credit Suisse, and founder-led fintech environments.

I focus on turning complex healthcare and financial domain problems into AI systems that are measurable, reliable, explainable, and usable by operational and executive stakeholders—especially clinical-style document intelligence, privacy-aware workflow automation, and risk analytics.

Hands-on engineering is central to my work: I design LLM/RAG workflows, retrieval and validation pipelines, multi-step agentic workflows, and evaluation processes for grounding, factuality, latency, and business usefulness—then deploy through APIs, databases, dashboards, and production data pipelines.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Amazon

Sep 2022 - Present (3 years 9 months)

Built healthcare-focused GenAI and LLM/RAG decision-support systems for clinical-style document intelligence, operational analytics, and privacy-aware workflow automation. Designed end-to-end pipelines including retrieval workflows, grounded generation, agentic multi-step reasoning, and evaluation gates for factuality, grounding, latency, and production readiness.

LLM RAG Vector Search AI Agents Prompt Engineering Model Evaluation MLOps Python SQL AWS

Data Scientist / AVP

Credit Suisse

Jun 2015 - Sep 2022 (7 years 3 months)

Developed fintech ML and deep learning products for risk analytics, predictive modeling, anomaly detection, and regulated decision support. Built production ML pipelines with explainable AI, NLP/document intelligence, audit-friendly workflows, and executive reporting dashboards.

Credit Risk Modeling Explainable AI Anomaly Detection NLP Document Intelligence Machine Learning Pipelines Python SQL XGBoost

Co-Founder, AI & Fintech

Dough Pack Co.

May 2012 - Jan 2015 (2 years 8 months)

Co-founded and built a peer-to-peer student lending platform, owning product strategy, lending logic, risk decision support, and platform execution. Implemented underwriting support and early risk-scoring using borrower attributes and transaction signals, and delivered backend APIs and data workflows to support underwriting and repayment performance measurement.

Underwriting Analytics Risk Scoring REST APIs Python Pandas PostgreSQL MySQL Transaction Data Flow Data Validation

Education

Degrees, certifications, and relevant coursework

Duke University

Master of Science, Computer Science (Data Science)

2014 - 2015

Completed a one-year Master of Science program in Computer Science with a data science focus, strengthening depth across algorithms, machine learning, and systems/software engineering.