Nageeta Nigeeta Kumari
Applied Science Intern @Datadog
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WORK HISTORY
Applied Science Intern @Datadog
Paris, FR
Part of the Team ‘Grouping and Exploration Models’
EDUCATION
Université Paris-Saclay
Master's degree (M1), Data Science
ENS Paris-Saclay
Master's degree (M2), MVA (MATHÉMATIQUES, VISION, APPRENTISSAGE)
Sukkur IBA
Bachelor's degree, Computer Programming, Specific Applications
ABOUT NAGEETA NIGEETA KUMARI
I’m a Machine Learning Engineer with dual Master’s degrees from ENS Paris-Saclay (MVA) and Université Paris-Saclay. With 2+ years of combined experience in applied AI research and software engineering, I thrive at the intersection of cutting-edge ML and real-world systems. My work spans root-cause analysis for distributed systems at Datadog, large-scale data harmonization at INRAE, and deploying secure, scalable applications in industry.I’ve built AI solutions across NLP, generative models, and vision-language learning—fine-tuning BERT for large-scale ranking tasks, improving retrieval with attention-based pooling, and re-implementing generative models for missing data. On the engineering side, I bring hands-on expertise with cloud platforms, Docker/Kubernetes, and modern development stacks, enabling me to move seamlessly from research prototypes to production-ready pipelines.What excites me most is collaborating with diverse teams to turn advanced ML research into impactful, scalable solutions. I value environments where curiosity meets rigor, and where innovation directly benefits people and organizations. I’m motivated by challenges that push both my technical depth and creative problem-solving, and I’m eager to contribute to AI initiatives that make a measurable difference.
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