Summary
Eshna Lahr is a Senior AI/ML Engineer with eight years of hands-on experience building production-ready data and NLP solutions, currently leading a team in AI Operations & Data Science at Dana-Farber Cancer Institute. She combines strong data engineering chops (Hadoop, Spark, Kafka, GCP/Azure/AWS) with applied ML and NLP expertise—having boosted entity recognition accuracy in clinical documents and automated QA for life sciences workflows. Comfortable across Python, R, SQL and graph databases like Neo4j, she has moved models from research to product while mentoring interns and conducting technical hiring. Passionate about healthcare data, she brings an uncommon mix of ML research, software engineering, and domain-driven impact that accelerates analytics into clinical and operational value.
8 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Alberta
Master's degree, Data Science, Master's degree, Data Science at Illinois Institute of Technology
English, Hindi, Bengali