Pranjeban Kara

Optimized CI/CD pipelines, reducing QA deployment time by over 53% from 75 minutes to 35 minutes.

Successfully migrated critical enterprise applications from .NET 6 to .NET 10 across diverse multi-environment Azure infrastructures, ensuring seamless operations.

Engineered and implemented a Kubernetes-based real-time data streaming and processing architecture, significantly enhancing scalability and efficiency for multi-team workloads.

Developing an autonomous AI cloud agent to automate infrastructure, streamline cloud migrations, and optimize deployment orchestration, tenant transfers, monitoring, troubleshooting, and cloud cost by leveraging AI capabilities.

Automated syslog collector configuration for over 350 sites, including 20 critical locations, leveraging Grafana and Promtail for centralized logging and metrics.

Implemented Python automation for Kafka producer-consumer, improving load distribution among nodes and boosting log transfer efficiency by 27% for comprehensive monitoring.

Streamlined monitoring across Maersk's global operations by establishing a single point of contact for logs, enhancing operational visibility and incident response.

Architected and deployed scalable, highly available cloud infrastructure across AWS and Azure using Terraform, ensuring robust system performance.

Automated cloud infrastructure provisioning and deployment, decreasing manual intervention by 40% and significantly reducing infrastructure-to-deployment time.

Optimized resource allocation across Development, Pre-production, and Production environments, achieving 99.99% annual uptime with less than 1 hour of downtime.

Collaborated with a research team to predict power consumption of non-smart devices by leveraging smart device data, contributing to innovative energy management solutions.

Conducted extensive research on academic papers to identify optimal models and datasets, enhancing research outcomes and predictive accuracy.

Achieved 97.45% prediction accuracy by modifying an existing model (ALC Model), directly contributing to the core objectives of the research project.