À propos de Sowmipriya
AI & Data Scientist with 7+ years of experience in NLP, LLMs, and machine learning. I've worked on large-scale AI moderation systems, LLM training and evaluation, prompt engineering, and data pipelines. Comfortable taking models from experimentation to production, with strong expertise in Python, PyTorch, cloud platforms, and end-to-end ML workflows.
Anglais
Bilingue ou natif
Français
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- Pareto.AI, Alignerr, Telus,Independent Contractorfévrier 2025 - Aujourd'hui (1 an et 4 mois)iMerit, SuperAnnotate,• ● Collaborating on training a large language model, focusing on crafting open-ended prompts and evaluating model performance and response quality.• ● Responsible for debugging machine learning code and preparing it for deployment in batch processing pipelines.• ● Reviewed and evaluated model outputs and supporting code using structured criteria, delivering clear technical feedback and contributing to quality improvements across LLM training workflows.
- Adyoulike(OPENWEB),NLP Machine Learning Engineermars 2022 - février 2024 (2 ans)Paris, France• ● Contributed to the development of inhouse AI moderation systems using state-of-the-art language models (LLM), focusing on automated message interception, restricted word detection, and blocking based on ML model scores.• ● Developed an IAB classifier capable of accurately categorizing various web pages from scratch (crawling to scoring). Included a long-former model, to enhance classification accuracy and efficiency.
- KaisensData,Data Scientist (Intern)mai 2021 - novembre 2021 (6 mois)Paris, France• ● Built a machine learning system using NLP that detects and tracks cyber bullying and harassment in social media.• ● Designed and implemented data pipeline architecture to process data for an inhouse product.
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Formations
- Diplôme d'études en langue française2024Diplôme d'études en langue française
- Master in Big Data and DataCY Cergy Paris University2021Master in Big Data and Data