GenAI ML Consultant

I began my career working on machine learning, computer vision, backend systems, and automation, delivering AI solutions across multiple domains. This experience gave me a deep understanding of how AI behaves in real-world systems—beyond experiments and notebooks.

Today, as a Cloud Ops Engineer with an AI-first mindset, I design and operate highly available, secure, and scalable infrastructure across Azure, GCP, and hybrid environments. I build AI-driven automation frameworks and agents that handle infrastructure provisioning, monitoring, anomaly detection, incident triage, autoremediation, and predictive capacity planning—transforming operations from reactive to self-healing and intelligence-driven.

I work extensively with Infrastructure as Code, CI/CD pipelines, and cloud-native platforms (Docker, Kubernetes), integrating AIpowered observability and cost optimization into production systems. My strength lies in bridging AI engineering and cloud operations, enabling platforms that continuously optimize performance, reliability, security, and cost.

I am driven by building production-grade AI systems, where automation is not scripted—it is intelligent, adaptive, and scalable.