Senior Data Scientist specializing in LLM applications, RAG systems, and production ML
New York, NYSenior Data Scientist6 years experienceSeniorConsultingTechnologyArtificial Intelligence
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About
Senior Data Scientist in consulting who has built production RAG systems for insurance/annuity document search at large scale (100K+ PDF pages), emphasizing grounded answers, guardrails, and low-latency retrieval. Experienced in end-to-end MLOps for LLM apps—monitoring, evaluation sets, drift handling, and safe rollouts—and in orchestrating complex pipelines with Prefect/Airflow and deploying services on Kubernetes.
Experience
Senior Data ScientistFulcrum Analytics
Machine Learning EngineerData Society
Data ScientistData Society
Education
University of Maryland, Robert H. Smith School of Businessmaster, Information Systems (2019)
Ahmedabad University, School of Engineering and Applied Sciencebachelor, Information and Communication Technology (2018)
Key Strengths
Built and deployed end-to-end RAG system over 100K+ pages of annuity PDFs
Strong focus on retrieval accuracy, hallucination reduction, and low-latency performance at scale
Production reliability practices: monitoring, logging, fixed eval sets, regression checks, and controlled rollouts
Designs AI workflows as debuggable stages with clear metrics and multi-layer testing (offline eval, unit/integration, load/latency)
Hands-on orchestration of complex ML/data workflows using Prefect (task dependencies, retries, monitoring UI)
Effective collaboration with non-technical stakeholders via iterative demos and feedback-driven refinement
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