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Vatsal User

@vatsaluser1

Message

I build production RAG, ModelOps, and ML systems for financial services.

Ireland

Message

At Permanent TSB, I build production ModelOps and GenAI systems for regulated financial services, including secure RAG proof-of-concepts on AWS using Amazon Bedrock and OpenSearch hybrid search for compliance policy documents.

I've delivered Python REST API ingestion pipelines that cut data preparation from days to under 10 minutes, led AWS SageMaker PD calculation pipelines that eliminated 95% of data errors, and maintained ML pipelines processing 2–3 million records monthly at 98% uptime.

My projects include multi-agent loan servicing assistants with LangGraph, FastAPI, React, MCP tooling, and human review, plus hybrid RAG retrieval systems evaluated with RAGAS and LangSmith. I also build reproducible MLOps pipelines with MLflow, DVC, Docker, and CI/CD.

Experience

Work history, roles, and key accomplishments

Current

ModelOps Developer

Current

Permanent TSB

Nov 2022 - Present (3 years 10 months)

Architected Python REST API ingestion pipelines with ETL transformation and automated validation, deployed to AWS Elastic Beanstalk, cutting data preparation from days to under 10 minutes. Engineered RAG pipeline components on AWS and led full-lifecycle development of PD calculation pipelines on SageMaker.

Python REST APIs ETL AWS Elastic Beanstalk Sagemaker OpenSearch Amazon Bedrock GitLab CI CD Jira Microsoft 365 Copilot Prompt Engineering Data Validation incident monitoring Root Cause Analysis

Data Analyst Intern

Tequed Lab Pvt. Ltd.

Jan 2020 - Aug 2020 (7 months)

Engineered automated ETL pipelines consolidating retail data from 5+ source systems into a centralized data lake on AWS Redshift, reducing manual loading effort by 40%. Developed Python scripts for data quality checks and preprocessing, cutting errors by 93%.

Python ETL AWS RedShift Data Quality data preprocessing

Education

Degrees, certifications, and relevant coursework

National University of Ireland, Galway

M.Sc., Business Analytics

2021 - 2022

M.Sc. in Business Analytics. Thesis on predicting stock price movements using ML models (Random Forest, XGBoost) with Twitter sentiment analysis, achieving 78% accuracy.