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Hema User

@hemauser6

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Sr. GenAI / AI Engineer at Morgan Stanley building GraphRAG systems for financial research.

United States

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What I'm looking for

I'm open to IC contract roles where I can own delivery of LLM and ML systems, from prompt and retrieval design through containerized deployment.

At Morgan Stanley, I built a GenAI decision intelligence platform that combines LLMs, GraphRAG, and time-series machine learning to help institutional teams extract structured signals from financial and macro-economic content.

I engineered retrieval with Neo4j knowledge graphs and FAISS or Weaviate vector search, and built LangChain agents to retrieve, summarize, and analyze research. I also used LangSmith to trace and evaluate retrieval and LLM calls.

At Delta Dental, I built claims-document understanding and RAG assistants grounded in benefits, eligibility, and policy information. I also trained risk-scoring and anomaly-detection models to help identify suspicious activity.

Earlier, at Albertsons, I developed personalization, recommendation, and retention models for the loyalty program. I began in data engineering and Python development, building batch and streaming pipelines at Jabong.com and Aircel; I hold an AWS Certified Machine Learning – Specialty certification.

Experience

Work history, roles, and key accomplishments

Current

Sr. GenAI / AI Engineer

Current

Morgan Stanley

Nov 2024 - Present (1 year 11 months)

Architected LLM-powered NLP pipelines and GraphRAG retrieval architectures to analyze financial content, and built tool-using LangChain agents for multi-step reasoning. Optimized model cost and latency, and shipped services with containerized platforms.

Python AsyncIO fastAPI PyTorch TensorFlow GPT 4 Claude Lang Chain Langsmith RAG Graph RAG Neo4j Cypher Faiss Weaviate Kafka Kinesis Spark AWS S3 EMR Sagemaker Kubernetes Docker Terraform Jenkins Streamlit Tableau

Senior Data Scientist

Delta Dental

Feb 2023 - Oct 2024 (1 year 8 months)

Built intelligent document understanding and RAG-powered conversational assistants on GCP, and trained predictive risk-scoring models. Containerized inference services and established repeatable model release pipelines.

Python TensorFlow PyTorch GPT 3.5 GPT 4 Lang Chain Langsmith RAG Vertex AI Dialogflow CX BigQuery BigQuery ML GKE Cloud Run Pub Sub Docker Terraform

Data Scientist

Albertsons

Dec 2021 - Jan 2023 (1 year 1 month)

Designed behavior-driven recommendation models and churn models, and established A/B testing frameworks. Deployed inference services with Vertex AI and Kubernetes, and prototyped Dialogflow CX assistants.

Python TensorFlow PyTorch scikit learn Vertex AI Dialogflow CX BigQuery GCP Kubernetes Airflow Spark

Big Data Engineer

Jabong.com

May 2018 - Nov 2021 (3 years 6 months)

Engineered distributed data pipelines and implemented real-time stream processing with Kafka and Spark. Introduced data validation checks and delivered executive-facing Tableau dashboards.

Python SQL Apache Spark Spark Structured Streaming Kafka Hive HDFS MapReduce Amazon EMR S3 Redshift Tableau

Python Developer

Aircel

Jul 2015 - Apr 2018 (2 years 9 months)

Developed batch and streaming ingestion workflows and designed structured data models. Automated recurring data workflows with Airflow and Oozie, and contributed to real-time analytics initiatives.