Shrey Shrivastava

Delivered healthcare ML workflows from experimentation toward production by building reproducible ingestion, preprocessing, training, and inference pipelines for structured and unstructured data. Improved clinical prediction readiness by designing reliable medical data models, optimizing for accuracy, efficiency, and low-latency deployment constraints. Accelerated cross-functional delivery by translating healthcare requirements into modular ML components, API-ready workflows, and stakeholder-facing outputs.

AI Engineer at CRO Prime (2025-02 – Present)

• Delivered healthcare ML workflows from experimentation toward production by building reproducible ingestion, preprocessing, training, and inference pipelines for structured and unstructured data.
• Improved clinical prediction readiness by designing reliable medical data models, optimizing for accuracy, efficiency, and low-latency deployment constraints.
• Accelerated cross-functional delivery by translating healthcare requirements into modular ML components, API-ready workflows, and stakeholder-facing outputs.

Data Analysis & Machine Learning Intern at Seekace (2021-07 – 2022-01)

• Reduced telecom customer churn by 15% by developing supervised ML models and reproducible feature-processing pipelines for churn prediction.
• Improved decision support by converting ambiguous telecom requirements into measurable ML experiments, model outputs, and retention analytics.

Machine Learning Intern at Innovians Tech (2020-05 – 2020-06)

• Enabled COVID-19 trend analysis by cleaning public-health datasets, building forecasting models, and visualizing statistical patterns for stakeholder review.

MSc in Artificial Intelligence – Queen Mary University of London (2024-12)

BTech in Computer Science – Symbiosis University of Applied Sciences (2022-05)