Pavani Gande

About Pavani Gande

MLOps Engineer with 4+ years of experience deploying and operating machine learning systems in cloud environments. Builds scalable ML pipelines, containerizes models using Docker and Kubernetes, and implements CI/CD workflows to support reliable releases and low-latency inference. Monitors model performance and observability metrics, manages versioning, and maintains reproducible environments. Background in ETL development, Apache Airflow orchestration, and AWS/Azure infrastructure. Collaborates with data scientists to move models into production while ensuring security, stability, and consistent performance.

Experience

1. Mlops Engineer

   Elevance Health

   Jul 2025 — Present

   Systematized containerized model deployments using Docker, Kubernetes, and Git-based CI/CD pipelines, reducing release preparation time by 45% and ensuring consistent promotion across development, staging, and production environments.• Designed ML pipelines supporting batch and real-time inference, processing millions of records weekly while lowering preprocessing latency by 35% for analytics and operational reporting.• Deployed Python prediction services as REST endpoints, reducing response latency by 40% and enabling secure integration with internal applications and care management tools.• Implemented monitoring for drift, latency, and pipeline failures using Prometheus and Grafana, cutting incident detection time in half and improving production model reliability.• Introduced model versioning and rollback procedures that decreased deployment errors by 30% and enhanced reproducibility across regulated environments.• Enforced encryption, role-based access controls, and audit logging to protect sensitive healthcare data and support HIPAA compliance requirements.• Optimized container resource allocation and autoscaling policies, lowering compute costs while maintaining consistent inference performance during peak workloads.• Partnered with data scientists to productionize models, improving deployment readiness and reducing handoff friction between experimentation and operations.

Education

• University of Central Missouri

  Master's Degree, Cybersecurity and Information Assurance

• BV Raju Institute of Technology (BVRIT)

  Computer science and engineering

  2020 — 2023

• Women's Polytechnic College,Medak

  Diploma of Education, Computer Science