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Eshaal Khan

@eshaalkhan

I build AI-driven monitoring and predictive systems for cloud-native operations using machine learning and DevOps tools.

Saudi Arabia
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What I'm looking for

I'm looking to build AI-driven monitoring, predictive analytics, and cloud-native automation solutions, collaborating with DevOps teams to improve incident response, observability, security monitoring, and system reliability.

I'm building AI-driven monitoring systems that detect anomalies, predict incidents, and automate issue resolution across cloud-native environments.

At Al-Nafi E-Learning, I designed AIOps solutions for multi-cloud and hybrid operations, integrating machine learning into CI/CD pipelines, incident workflows, dashboards, and observability systems.

My Intelligent AIOps Monitoring System uses Isolation Forest and LSTM models with the ELK Stack, Prometheus, Kubernetes, and AWS to analyze logs and metrics, forecast incidents, and support auto-remediation.

I also work with predictive modeling, data analysis, cybersecurity monitoring, and cloud computing education, with experience applying AI across healthcare, real estate, microservices, and brain science research.

Experience

Work history, roles, and key accomplishments

AL

Artificial Intelligence Operations

Al-Nafi E-Learning Pvt. Ltd.

Jul 2024 - Jul 2025 (1 year)

Designed AI-driven monitoring systems for multi-cloud and hybrid environments, implemented machine learning algorithms for anomaly detection, and automated incident response to improve MTTR. Collaborated with DevOps teams to integrate AI tools into CI/CD pipelines and configured AIOps platforms like Moogsoft, BigPanda, and Splunk.

Education

Degrees, certifications, and relevant coursework

II

International Advanced Subsidiary (IAS)

International Advanced Subsidiary, General Education

2025 - 2025

Pursued International Advanced Subsidiary from January 2025 to May 2025.

AL

AlNafi

Diploma, Artificial Intelligence Operations

2024 - 2025

Pursued a Diploma in Artificial Intelligence Operations (AIOps) from July 2024 to December 2025. Developed an intelligent AIOps monitoring system using ML models to detect anomalies and predict incidents.

IG

IGCSE

IGCSE, General Education

2023 - 2025

Completed IGCSE from May 2023 to November 2025.

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