Varshith Chaluvadi

About

AI/ML engineer currently at BlackRock who deployed an AI-powered sentiment analysis microservice into a task management platform to prioritize and escalate high-risk/frustrated tickets from free-text comments. Experienced running production microservices on AWS EKS with Docker/Kubernetes/Helm and provisioning infrastructure via Terraform, with strong MLOps rigor (MLflow evaluation pipelines, canary rollouts, and real-time monitoring) and cross-functional collaboration with product/operations.

Experience

Education

Key Strengths

• End-to-end production deployment of AI sentiment analysis microservice for task/ticket prioritization
• Strong MLOps practices: MLflow-based evaluation pipeline, experiment tracking, and promotion
• Robust model validation approach: edge-case testing, cross-team sampling, and real-time monitoring
• Production-grade Kubernetes operations on AWS EKS (service discovery, autoscaling, rolling updates, multi-service communication)
• Infrastructure-as-code with Terraform for provisioning EKS clusters and node groups
• Effective collaboration with non-technical stakeholders to define labels/categories and build human-in-the-loop improvements