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Somesh Ghaturle

Somesh Ghaturle

AI and Data Scientist focused on Generative AI and MLOps

someshSRG
New York, New York, USA
Joined March 2026
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Summary

Applied generative AI researcher and practitioner — Somesh has contributed to research and presentations (FAIR-Agent) aiming to quantify LLM trustworthiness and to build multi-agent, evidence-grounded systems with safety and FAIR metrics. researchgate+2
Hands-on data engineering and cloud platform experience — career history and resume indicate practical work modernizing ETL/pipelines and using Spark, Snowflake, Azure, AWS and Databricks for production-scale analytics and cost/performance optimizations. scribd+1
Academic training in data science — enrolled in and affiliated with Pace University's Seidenberg School (M.S. in Data Science) with verified academic profiles and participation in the Seidenberg Annual Research Day. google+2
Public code and project artifacts — maintains code and notebooks publicly (GitHub) demonstrating applied data science and case studies used in coursework and skill-building. github+1

Work

Education

Projects

Writing

FAIR-Agent: A Multi-Agent Framework for Quantifiably Trustworthy Large Language Models

January 1, 2025

Paper and presentation describing FAIR-Agent, which introduces FAIR metrics (Faithfulness, Adaptability, Interpretability, Risk-awareness), a multi-agent architecture, evidence-grounding, and safety mechanisms to reduce hallucinations and quantify LLM trustworthiness in domains like finance and medicine.

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