• Implemented log monitoring and analysis using Splunk Enterprise and Grafana, resulting in a 30% reduction in mean time to resolution (MTTR) for critical incidents.
• Diagnosed and traced high-impact anomalies and exceptions, by developing alerting pipelines with SPL and regex, leading to faster detection of infrastructure issues and improved alert accuracy.

• Designed deep learning models for crop health assessment, achieving 94% accuracy in yield prediction using drone imagery.
• Applied advanced image preprocessing, feature extraction, and data cleaning techniques to enhance model performance and scalability.

• Managed system administration tasks to streamline incident identification, tracking, and resolution, improving operational efficiency by 25%.
• Implemented structured change management protocols, reducing unplanned service disruptions and increasing system uptime.

Contributing to a youth-led non-profit dedicated to tackling societal taboos and shaping a better world through effective communication and strategic social media engagement.

Actively contributed to social services and community projects, developing leadership skills and collaborating with diverse teams.