With over 17 years of industry experience, I’m a seasoned technology professional with deep expertise in Middleware, DevSecOps, Cloud Platforms (Azure & AWS), AI/ML, and enterprise security. I’ve consistently delivered large-scale transformation initiatives in banking and insurance, leveraging automation, AI, and secure cloud-native architectures to reduce operational overhead and enable business agility.
My approach blends engineering precision with strategic thinking, enabling organizations to adopt modern delivery models, secure their software supply chains, and maximize value from cloud and AI investments.
I specialize in:
Building and scaling DevSecOps pipelines using Azure DevOps, Terraform Cloud, Ansible, GitHub Enterprise, GitHub Actions, AppScan (SAST/DAST), tfsec, and Qualys Container.
Automating infrastructure and deployments with Kubernetes, Docker, and cloud-native APIs
Implementing monitoring and observability solutions with Datadog, AppDynamics, Microfocus APM
Applying deep learning and neural network models for system identification, enabling predictive intelligence and anomaly detection
Developing AI solutions with Python, Machine Learning, Generative AI, Agentic GenAI, LLMs, and secure architectures using Cryptography
Designing and deploying secure, scalable environments in both Azure and AWS Cloud

Impact Highlights:
Reduced manual deployment time by over 90% through full CI/CD automation
Achieved 30–40% infrastructure cost savings via efficient cloud provisioning and IaC
Strengthened compliance with 60% faster vulnerability detection and remediation
Integrated LLM-based AI tools to streamline development, testing, and decision-making
Applied neural networks for dynamic system modeling, boosting predictive accuracy in critical enterprise systems