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Mercor
Data Annotation Tech
Document
Text
Image
Question Answering
Classification
Prompt + Response Writing (SFT)
RLHF
Text GenerationData Scientist, Allianz IArd, La Defense, Paris. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Dual Master of Science, Centrale Supelec & ESSEC Business School (2020) and Bachelor of Technology in Civil Engineering, Mahindra Ecole Centrale (2018). AI-training focus includes data types such as Document and Text and labeling workflows including Question Answering and Classification.
TextRLHFI've worked with Mercor as a freelance AI specialist, contributing to code evaluation and data annotation projects for leading AI labs, applying my ML engineering expertise to improve model quality and alignment.
DocumentQuestion AnsweringBuilt and deployed QDD dashboards by performing profile and risk analysis (Completeness, Compliance, Precision) on Allianz insurance data. The work involved assessing data quality characteristics to support downstream analytics and automated decision processes. This contributed to structured evaluation of document-related fields used in insurance workflows. • Completeness/Compliance/Precision scoring to assess readiness of insurance data • Mapping and monitoring Allianz insurance data workflows using Axon (data governance tool) • Preparing data quality metrics for dashboard implementation • Supporting reliability and governance of extracted insurance information
TextClassificationPerformed extraction and classification of product and transaction attributes from a dataset of emails to support automated seller authentication and transaction validation. The classifiers were built using template-based methods and machine learning models. The process required structuring unstructured email text into consistent fields and labels for model training and evaluation. • Extracted main product information, transaction fields, and seller details from 96k merchant emails • Built classifiers using template-based approaches plus ML models • Achieved ~96% model accuracy for the extraction/classification task • Implemented automated verification systems for seller authentication and transaction validation
Dual Master of Science, Data Science and Business Analytics
Bachelor of Technology in Civil Engineering, Civil Engineering
Senior MLOps Engineer (Azure)
Machine Learning Engineer
