Working at the intersection of DevSecOps and business outcomes, supporting enterprise adoption of secure software supply chain practices across SaaS, self-hosted, and air-gapped environments.
Focused on building production-grade ML platforms and secure, automated cloud infrastructure for global enterprise clients in insurance and financial services.
Large-scale enterprise infrastructure and DevOps work for global technology and telecom clients across North America and Europe.
Full-stack developer in OSS compliance, building internal tools and automating workflows for a global electronics and media client.
Focused on open-source software compliance and license governance.
Trained across multiple technologies including 5G domain fundamentals. Contributed to internal development projects.
Designed a UI prototype for GLens, a real-time industrial data monitoring platform, focusing on user experience and visualisation for environmental compliance use cases.
Designed and deployed an end-to-end MDLC platform on AWS EKS and EC2 using Terraform and Ansible. Integrated JupyterLab, VS Code Server, S3, Artifactory, and Route 53, enabling standardized, reproducible ML development environments for enterprise teams.
Evaluated and benchmarked multiple MLSecOps tools using TP, FP, FN, precision, recall, and F1 scoring. Integrated the selected tool into active ML pipelines for AI-driven threat detection and model security at scale.
Built an AWS Lambda-based pipeline to scan S3-uploaded files using a third-party security API, automatically routing to quarantine or safe buckets based on scan results. Fully automated, event-driven, and zero-ops.
Built a reporting pipeline using NLP to extract structured summaries from large JSON deal datasets, automating PowerPoint report generation for a Singapore-based asset management firm. Saved significant manual analysis time across deal review cycles.
Designed and built an internal Django application to manage open-source software compliance workflows for a global electronics and media client. CAMT tracked copyleft obligations, flagged license conflicts, and maintained an auditable archive of OSS usage across the codebase. Integrated with FossID for automated license scanning and detection.
Design reference architectures for enterprise JFrog platform deployments across SaaS, self-hosted, and air-gapped environments. Covers high-availability configurations, multi-site replication, storage backends, and network topology, tailored to each customer's infrastructure and compliance constraints.
Architect end-to-end DevSecOps pipeline integrations connecting JFrog Artifactory and Xray with customer CI/CD toolchains including GitHub Actions, GitLab CI, Jenkins, and Azure DevOps. Designs cover artifact promotion workflows, security gate policies, and compliance reporting hooks.
Design secure artifact management architectures for ML workflows, covering model versioning, dataset storage, dependency management, and governance controls. Integrates JFrog's platform into MLOps pipelines to bring software supply chain security principles to model development lifecycles.