Mrunal Kakirwar

About

Software engineer/product owner who has led end-to-end delivery of AI and content-management platforms, including building RAG-based reliability improvements and migrating fragile systems to containerized AWS ECS/Kubernetes with Terraform-managed CI/CD. Experienced designing event-driven microservices (SQS/SNS/RabbitMQ), scaling queue consumers with autoscaling, and creating internal Python tooling to standardize data connectors (e.g., BigQuery/Airtable/internal APIs) to speed iteration.

Experience

Education

Key Strengths

• Owned end-to-end delivery of an AI-driven customer-facing platform with rapid iteration and enterprise-grade quality
• Built resilient CI/CD and infrastructure-as-code automation (Terraform, GitHub Actions) to reduce time-to-market
• Improved model reliability by implementing RAG and streamlined prompting; cited ~40% reduction in data/annotation issues
• Led migration to containerized AWS ECS/Kubernetes with staging/production parity to minimize disruption
• Implemented Terraform governance (S3 + DynamoDB state locking) enabling safe multi-engineer infra changes
• Designed scalable event-driven microservices using SQS/SNS (and RabbitMQ for on-prem) with eventual consistency patterns
• Solved scale bottlenecks by autoscaling ECS Fargate consumers based on queue depth to protect real-time processing
• Built internal standardized data-connector/tooling interface in Python to eliminate redundant connector development and maintenance
• Improved complex frontend state consistency using Redux with normalized state shape