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Mrunal Kakirwar
Mid-level Full-Stack Engineer specializing in cloud-native microservices and AI automation
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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.
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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
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