Senior AI Platform Engineer: agentic AI, LLM infrastructure, and cloud platforms.

Lead a platform team building the firm's in-house production AI and data platform.

• Own the canonical AI developer platform: container-based, API-driven, on ARM compute with eBPF networking, running AI agents, model services, and workflow automation in production across multiple engineering teams.
• Standardized model inference on a unified serving runtime behind a gateway layer with routing, fallbacks, A/B experimentation, and inference-time optimization.
• Delivered enterprise retrieval pipelines combining vector and graph search, powering a sovereign research-intelligence layer with full data lineage on a lakehouse stack.
• Designed streaming agent orchestration: model tool calls dispatched to durable workflows over pub/sub messaging with live client progress.
• Built reusable platform primitives for authentication and fine-grained, relationship-based authorization; hardened with centralized secrets management and admission policies.
• Ran a DORA baseline across 180 repositories and 46 projects; produced the build-vs-buy economic justification adopted at firm leadership level.

Open-weight models at scale, agentic retrieval, and hybrid container platforms.

• Deployed open-weight language models at scale on a self-hosted serving stack; trained small language models tuned for latency and cost per query.
• Architected agentic retrieval systems over vector stores and embedding models for intelligent document processing.
• Built data engineering pipelines with lineage, governance, and quality frameworks delivering production data products.
• Architected hybrid container-platform and service-mesh deployments for workload portability across cloud and on-premises; established SRE practices including SLO/SLI frameworks and incident response.

FinOps at organization scale, service mesh, and reliability engineering.

• Spearheaded FinOps adoption and toolchain integration, realizing 30%+ yearly savings in cloud and SaaS spend through cost anomaly detection and event-driven remediation.
• Architected an organization-wide service mesh across all container workloads, with custom proxy filters and OAuth 2.0 access patterns.
• Developed SLOs, SLIs, and SLAs ensuring 99.9%+ availability; automated SOC2 compliance monitoring and remediation with SecOps.

Security hardening for a crypto exchange handling $30MM+ in daily transaction volume.

• Hardened security posture through static and dynamic application security testing and advanced network monitoring, routing, and filtering.
• Tuned container workloads for performance and cost; cut MTTR 30% through cloud-native observability and distributed tracing.

DevOps transformation for an IoT asset-monitoring provider.

• Owned the DevOps roadmap, optimized the application landscape for scalability, and managed team output and accountability.

Pioneered the DevOps practice in compliance-driven environments.

• Built foundational DevOps processes under PCI-DSS, HIPAA, and SOC2, delivering automation across diverse client sectors on serverless, container, and messaging cloud services.

Director of Operations, IT Manager, Implementation Consultant, and Systems Support Analyst roles.