Daniel Joel Burllaile

Leading the end-to-end AI/ML platform transformation — from infrastructure to production AI systems at scale.

INFRASTRUCTURE & GITOPS

Migrated entire platform from EC2 Docker to AWS EKS with 100% GitOps (ArgoCD, Terraform, Karpenter, KEDA). Built event-driven microservices processing 1TB+ real-time data with Kafka, SQS, and Lambda. CI/CD fully automated with GitHub Actions.

AI-NATIVE ARCHITECTURE

Designed production RAG pipelines (LangChain, pgvector, Aurora PostgreSQL) with hybrid retrieval, cross-encoder reranking, and RAGAS evaluation. Built multi-model routing gateway with PII-aware routing (Presidio), cost/latency optimization, and fallback chains. Implemented agent orchestration with LangGraph and Temporal.

GPU & ML SCALING

Deployed GPU-accelerated inference on EKS: NVIDIA GPU Operator, MIG partitioning, KServe autoscaling, Triton Inference Server with dynamic batching. Configured distributed training with Kubeflow (PyTorchJob), DeepSpeed ZeRO, and Kueue scheduling. Scale-to-zero for cost optimization.

MODEL GOVERNANCE

Automated drift detection (Evidently AI) integrated with Airflow DAGs and auto-retraining triggers. SHAP explainability reports generated per release. MLflow Model Registry with lifecycle promotion gates. Full data-to-prediction lineage via OpenLineage.

AI SECURITY

Prompt injection mitigation with Guardrails AI. PII scanning before RAG ingestion with Presidio. Model supply-chain integrity via Cosign image signing, SBOM generation, and Trivy vulnerability gates in CI/CD. Zero Trust architecture with GuardDuty, WAF, and Shield Advanced. ISO 27001 compliant.

DATA PLATFORM

Snowflake data warehouse with dbt Core transformations and Apache Airflow orchestrating 50+ DAGs. SQL optimization achieving 60% reduction in pipeline execution time across enterprise reporting workloads.

Designed secure multi-cloud architectures (Azure, AWS, OCI) applying a defense-in-depth strategy, improving security posture by 40% across global environments.

Strong command of Terraform, used to define infrastructure and enforce compliance/security guardrails across multiple cloud environments.

Built reusable application modules in Azure using Terraform, integrating with Azure DevOps pipelines and role-based access control (RBAC).

Applied TOGAF and SABSA to align security architecture with enterprise and AI risk models.

Experience implementing event-driven security architectures leveraging Kafka + KSQL + EventBridge, particularly for real-time threat detection and incident response pipelines.

Reduced microservice/API attack surface by 35% using Azure API Management + AWS API Gateway combined with service mesh security (Istio).

Strong focus on AI security: at Nestlé, I designed an AI-driven security automation process for firewall creation, combining Azure DevOps + Python + Terraform + GPT-4.0 (API) + RAG FAISS and (LLM LLAMA3 trained locally).

This solution acted as a real-time Security Advisor, detecting and remediating misconfigurations and drift in firewall definitions during pipeline execution, preventing misaligned or insecure deployments in Azure.

Developed CI/CD patterns for secure deployments using Blue/Green and Canary strategies, integrating Jenkins, GitHub Actions, and Azure DevOps.

Implemented Zero Trust access models, global PAM/IGA strategies (CyberArk, Entra ID), and security baselines for Kubernetes, containers, and real-time data pipelines.

Integrated Databricks into secured data pipelines with fine-grained IAM policies and Terraform-managed access controls, enabling secure ML model deployment and auditability.

Extensive hands-on experience with CyberArk for privileged access management, securing secrets and credentials across hybrid infrastructure and Kubernetes workloads.

Solutions Architect Data Security Cloud

• Architected and deployed 600+ microservices on Kubernetes (AKS/EKS/GKE), reducing deployment times by 40% and enhancing scalability across multi-cloud environments. Streamlined resource provisioning with CloudFormation CDK and optimized traffic management using Route 53, Azure DNS, and Google Cloud DNS, ensuring 99.99% availability. Designed secure VPC architectures with custom subnet configurations, reducing incidents by 25%. Automated solutions with Jenkins, Helm, GitLab CI, and Power Automate, improving workflows. Enhanced monitoring and backups with CloudWatch, Elasticsearch Curator API, and Google Cloud Monitoring, minimizing downtime. Implemented serverless solutions with AWS Lambda and Google Cloud Functions, cutting costs by 25% and accelerating ETL workflows.

• Implemented scalable, secure multi-cloud infrastructures (Azure, AWS, OCI), improving deployment efficiency by 30% with Terraform and IaC. Automated network connectivity and pipelines using Azure tools, reducing human error by 25%. Streamlined workflows by integrating Terraform, Jenkins, and Python scripting, cutting errors by 20%. Delivered "Environment on Demand" models with Kubernetes, Helm, and ArgoCD, reducing deployment times by 40%. Enhanced telemetry data ingestion for Kafka-integrated environments using Azure Event Grid and Event Hub, enabling real-time processing. Improved observability with Grafana, Prometheus, and Loki, achieving 99.9% uptime through proactive issue detection. Enhanced team collaboration by integrating Kafka with Slack workflows, reducing response times by 35%. Optimized AWS pipelines for scalability. Specialized in Privileged Access Management (PAM), Access Management (AM), MFA, and Identity Governance Administration (IGA) using tools like CyberArk and SailPoint. Delivered over 15 PAM projects globally, managing infrastructures for 2,000 to 80,000 employees.