Open to opportunities

Ashi Singh

@ashisingh1

Message

I build RAG pipelines and ML systems for healthcare analytics.

India

Message

At EXL, I build end-to-end RAG pipelines and LLM-powered conversational analytics for large-scale healthcare datasets, reducing analyst query time by 60%. I also develop ML models for patient segmentation and next-best-action decisioning.

I've deployed CrewAI multi-agent workflows, scalable Python and SQL pipelines, and model monitoring systems that cut manual effort by 70%. My projects span medical-report agents, GenAI article summarization, and real-time behavioral detection.

Experience

Work history, roles, and key accomplishments

Current

Reporting Analyst

Current

EXL

Feb 2026 - Present (7 months)

Architected end-to-end RAG pipelines using LangChain, HuggingFace, and vector databases to enable conversational analytics and automated insight generation over large-scale healthcare datasets. Built and deployed ML models for patient segmentation and next-best-action decisioning, and engineered scalable Python and SQL data pipelines for feature engineering and model monitoring.