Vivek Anupindi

About Vivek Anupindi

Data Engineer with 4 years of experience building scalable AWS-based data pipelines…

Experience

1. Machine Learning Engineer

   Deloitte

   Jan 2025 — Present · US

   Machine learning pipelines on clinical trial datasets boosted cohort segmentation and risk detection, lowering manual review workload by 35% across multiple research studies.• Retrieval-augmented generation (RAG) with Pinecone and ChromaDB accelerated literature analysis and regulatory documentation, shortening compliance cycles by 20% with enhanced approval processes.• Autonomous AI agents tagged clinical records, generated protocol recommendations, and decreased repetitive work, increasing study planning efficiency by 40% with measurable impact on trial timelines.• Knowledge graph models in Neo4j optimized predictive explainability, enabling research validation of model outcomes and increasing interpretability by 25% across AbbVie research teams.• Cross-functional integration embedded AI insights into AbbVie platforms, reducing regulatory submission delays by 15% while aligning compliance across global operations.• MLflow with Kubernetes ensured reliable deployment, achieving 99.5% uptime across production environments, lowering maintenance costs and providing stable ML workflows.

Education

• Saint Louis University

  Master's degree, Information Systems

• BV Raju Institute of Technology (BVRIT)

  Bachelor of Technology - BTech, Computer Science

  2016 — 2020