Resume

Robotics and ML for diagnostic lab automation.

• Work across the robotics platform — real-time control, imitation learning, and autonomous navigation.
• Build and operate the ML and GPU inference infrastructure behind it, self-hosted where privacy or cost requires.
• Apply language models to infrastructure operations, with the evaluation and guardrails to roll out autonomy safely.
• Maintain fleet infrastructure-as-code — provisioning, secrets, and disaster recovery as reviewed, auditable code.
• Contribute to platform architecture and to software for regulated, medical-device settings.

• Led enterprise-wide ML strategy across research teams, improving architecture and system reliability.
• Migrated monolithic Docker infrastructure to Kubernetes, increasing deployment flexibility and reducing downtime.
• Designed ELK-stack monitoring for real-time visibility and faster incident response; optimized the Orthanc DICOM server with a distributed, concurrent architecture for large batched data loads.

• Led build automation across the .NET stack; managed TeamCity configurations via Kotlin scripts.
• Built Terraform-managed infrastructure for Octopus Deploy servers; authored PowerShell build/deploy automation and resolved critical production build issues on an on-call rotation.

• Architected and maintained on-prem ML infrastructure for PyTorch/TensorFlow workloads, including GPU cluster setup; reduced storage costs 90% through block-storage optimization.
• Led evaluation and deployment of LLM foundation models (Med-PaLM, GenAI) with MLflow lifecycle pipelines; improved availability via horizontal scaling, Kubernetes migration, and a Traefik ingress controller.
• Managed on-site CPU/GPU allocation, quota, and storage (Samba/NFS) integrated with GCP bare-metal; directed ISO certification and compliance; established Terraform IaC; migrated a monolith to microservices (strangler pattern).

• Supported ~1,500 developers as a rotational production lead; led containerization and migration off a monolithic architecture and deployed BinderHub on Kubernetes.
• Maintained the ELK stack; built a C# release-note generator from DLL changes; integrated SonarQube/PVS-Studio; led migration from Perforce/TeamCity to GitLab and containerized Jenkins.

• Engineered PowerShell modules and Packer AMIs for AWS configuration management; automated deployments with Terraform; established CI/CD in Bamboo and Jenkins; introduced Robot Framework with a Lambda/Docker parallel UI-testing wrapper.
• As Software Developer, implemented Azure reporting features (C#) and led version-control migration (SVN → Git) and ticketing to JIRA.

• Built a C#/Python web crawler that corrected 100,000+ company names using Google Freebase data; built a course-evaluation system (Spring MVC, Java).

• Supported graduate and honors courses in Analysis of Algorithms, Theory of Computation, and Cryptography — instruction, tutoring, and grading.

• Built computer-vision systems for autonomous robots — people/wall detection (HOG, Hough Transform) and QR-code navigation (ROS, Python, OpenCV).

• Built “Project Gemini” for Levenshtein-based ticket clustering and PDF handling (Java, SQL).