cyber professional

• Delivered platform engineering services at a hardware+software neolab with 10+ independent research teams, including sourcing GPU compute, supporting multi-arch and CUDA builds, writing microservices in Python, and owning observability and security. • Obtained executive and legal approval to streamline AI agent adoption, add new models and MCP servers, and clarify guidelines to safely scale to 50% of code org-wide written by AI. • Authored migration strategy for a C++/Python/ROS2 robotics monorepo to achieve 10-100x faster builds and a 90% reduction in build failures. Embedded with newly created Build team for 6 months to recruit key hires, develop a Bazel MVP, and secure researcher adoption. • Provisioned and operated Kubernetes AI training clusters (35,000 CPUs and 500 GPUs across cloud providers and on-prem). Provided on-call support for researcher workloads such as distributed training in Ray, Metaflow pipelines, and self-hosted GitHub Actions CI runners. • Owned high-urgency DevOps projects including cross-company reinforcement learning collaboration, security incident response, and EU data privacy compliance. • Earned a HackerOne bounty for discovering an access control bypass in GitHub Actions.

• Built backend infrastructure for automated analysis of venture capital investment contracts, including job scheduling, sandboxing, data storage, and failure handling. • Established continuous delivery and observability standards across all TensorFlow/Keras inference serving, Python API services, and data pipelines. • Obtained SOC 2 for a seed-stage LLM legaltech startup with a from-scratch compliance program including technical controls, penetration testing, and evidence collection. • Closed "early adopter" deals with law firm security and risk teams as technical sales lead, enabling private model training on proprietary contract data.

• Architected AWS SageMaker research environments, Snowflake data warehouse with PII deidentification, and Elasticsearch cluster with integrated sales conversion ML rankings. • Secured enterprise-wide approval for Terraform as an infrastructure-as-code tool and coached other teams on IaC adoption and best practices. • Increased production deploy frequency 10x with containerized CI/CD on Jenkins/Kubernetes.