I build the platforms that let scientists focus on curing disease instead of fighting infrastructure. As a Principal Engineer with 12 years in enterprise cloud, I specialize in Agentic AI and production-grade platform engineering for pharmaceutical R&D on AWS.
My current focus is embedding AI agents and LLM-assisted workflows into drug discovery pipelines — compressing development cycles and unlocking capabilities that were previously out of reach for science teams. I've architected bioinformatics and MLOps platforms on AWS EKS, migrated critical research pipelines to production-grade Argo Workflows, and built multi-LLM agentic systems using Bedrock, Claude, and OpenAI.
- Architecting next-generation AI/ML platform infrastructure for global R&D, enabling scientists and biologists to run large-scale data analytics and ML workloads on AWS EKS.
- Driving adoption of Agentic AI workflows, leveraging Claude Code and LLM-assisted development to accelerate internal tooling and pipeline development.
- Collaborating cross-functionally with bioinformatics teams, data scientists, platform security, and R&D leadership to define platform standards and enable self-service capabilities.
- Owned technical engagement and delivery success on partner implementation projects, developing deep expertise across AWS technologies and how applications are constructed on the platform.
- Defined implementation architectures and responded to RFPs, applying solution-design best practices and cloud-native use cases.
- Acted as strategic technical lead in the field, providing architectural guidance to accelerate partner engagements worldwide.
- Led deep architectural design reviews to ensure world-class, cloud-native solutions ready for production deployment.
- Managed customer and partner relationships through design, build, and migration to the AWS platform, driving strategic partnerships and cross-team collaboration.
- Led the setup of AWS platforms used by scientists and biologists for data analytics and modeling, ensuring efficient and secure data processing.
- Implemented cost optimization strategies across 12 AWS accounts, delivering annual savings of over $1.5M.
- Established Well-Architected Framework reviews across multiple projects, embedding security and architecture best practices.
- Partnered with AWS on testing and contributing to the Karpenter open-source autoscaler, saving over $500K annually on EKS workloads.
- Built a proteomics data-analysis pipeline on AWS EKS for the Bioinformatics team.
- Developed a platform for running Shiny applications (R, Python, Streamlit) on AWS EKS using open-source tooling.
- Led an ETL migration of HPC data from MongoDB to RDS PostgreSQL, powering PowerBI reporting and analytics.
- Led setup of AWS platforms used by scientists and biologists for data analytics and modeling.
- Delivered cost optimization across multiple AWS accounts, generating significant annual savings.
- Established well-architected frameworks across projects to embed security and architecture best practices.
- Piloted new open-source technologies in collaboration with central platform teams.
- Implemented AWS DataSync to move data from on-prem NAS and instrument PCs into S3.
- Deployed Karpenter on EKS workloads for faster autoscaling and further cost optimization.
- Selected for the AWS Subject Matter Expert (SME) program to develop exam items for the AWS Solutions Architect Professional and AWS DevOps Engineer Professional certifications.
- Led an ETL migration of HPC data out of MongoDB into RDS PostgreSQL with PowerBI dashboards, informing workload analysis and helping secure project funding.
- Containerized applications on AWS EKS, ECS, and Kubernetes across EC2 and on-prem instances.
- Deployed R and Python Shiny applications on Kubernetes via ShinyProxy.
- Implemented Kustomize and Helm charts for containerized workloads.
- Built GitOps workflows using ArgoCD, Argo Rollouts, and Argo Events.
- Designed cost-effective, performance-optimized, and secure solutions, including end-to-end encryption at rest and in transit and application-level authentication/authorization.
- Implemented observability with Prometheus and Grafana.
- Worked as AWS Technical Specialist embedded at J&J (Belgium) for the EMEA region, with expertise in Redshift, EC2, S3, ETL (Talend), and Athena.
- Applied solution design and BI subject-matter expertise on the AWS platform, improving architecture and reducing total cost of ownership.
- Led migration of the entire AWS production environment to a new account, including Redshift, S3, EC2, RDS, EMR, and SWF domains.
- Worked as AWS and ETL developer, improving AWS architecture and reducing total cost of ownership.
- Identified opportunities to introduce AWS services for better platform performance.
- Built data-virtualization views across Teradata, Oracle, Redshift, Vertica, HDFS, and flat files using Cisco Composite for a multi-source BI project.
- Delivered AWS cloud architecture and data profiling for a petrochemical operational-dashboard project using Talend, Redshift, and Tableau.
- Built and maintained ETL pipelines (Datastage, Teradata BTEQ/MLOAD/FLOAD) and resolved production issues via root-cause impact analysis.
- Automated a manual job, cutting runtime from 45 hours to 30 minutes with improved accuracy.
- Early-career ETL development role.