Deepesh Patel
Product Security Lead @Oracle
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WORK HISTORY
Product Security Lead @Oracle
Bengaluru, IN
Spearheaded threat modeling, secure code reviews, and architecture analysis, aligning with industry standards like NIST, ISO 27001.Led the DevSecOps project initiatives for Oracle\'s cloud security division, overseeing end-to-end integration of SAST, DAST, OSS scanning, and IAST tools.Developed and managed CI/CD pipelines embedding automated security controls and compliance validation checkpoints.Automated secure deployments using Terraform, Helm, and Kubernetes Operators across multi-cloud environments (AWS, GCP).Hardened container security using image scanning, RBAC, network policies, and runtime protection.Ensured third-party software compliance and implemented global compliance standards such as GDPR, SOC2, and HIPAA within development workflows.Delivered red teaming reports, penetration testing outcomes, and cloud security assessments to leadership.Partnered with data science teams to build secure MLOps pipelines using MLflow, Kubeflow, and Airflow.Integrated model drift and data drift detection using Prometheus and Grafana with custom alerting rules.
EDUCATION
Technocrats Institute of Technology
Bachelor of Engineering (B.E.)
SKILLS
ABOUT DEEPESH PATEL
Security Engineering Lead | DevSecOps & MLOps Specialist | CEH Certified | 10+ Years in Cybersecurity & Cloud SecurityI’m Security Engineer with over 10 years of hands-on experience designing and implementing secure, scalable systems across enterprise environments. I currently lead DevSecOps initiatives at Oracle, where I architect cloud-native security frameworks, manage CI/CD pipelines with embedded compliance, and drive automation in secure deployments across multi-cloud environments (AWS, GCP, Azure). Core Areas of Expertise:DevSecOps | MLOps | Threat Modeling | Secure SDLCPenetration Testing | Red Teaming | Compliance (GDPR, PCI-DSS, ISO 27001)Kubernetes & Container Security | Infrastructure as Code (Terraform, Helm)Security Automation | Secure ML Pipelines | Prometheus + Grafana Monitoring Highlights:Reduced production vulnerabilities through automated testingAccelerated ML model deployment via cloud-native MLOps stacksDelivered 100+ penetration tests with zero false negativesBuilt security frameworks aligned with NIST, SOC2, HIPAA, and ISO 27001
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