RAVENDRA SONKAR

Orchestrated a cross-functional collaboration to leverage ELK Stack and Wazuh, resulting in a 25% reduction in system downtime and a 30% increase in actionable insights for operations and security teams. Engineered an advanced data processing system using ELK Stack and Wazuh, driving a 40% increase in platform speed and efficiency, while enhancing security measures to safeguard against cyber threats. Designed robust automation processes that led to the identification and resolution of the top three bottlenecks within pipeline workflows, enhancing overall operational efficiency for subsequent deployments.

Spearheaded the deployment of three AI/ML projects, resulting in an average accuracy improvement of 15% through precise fine-tuning and optimization strategies that enhanced model performance for critical applications. Conducted thorough analysis and documentation of NLP model performance, demonstrating a commendable 20% improvement in accuracy and a 25% decrease in inference time, facilitating more efficient decision-making processes. Played an integral role in the design and development of a Google Cloud Platform (GCP) pricing model, contributing to a 15% reduction in infrastructure costs by strategically allocating resources.