Suzanne C.

About Suzanne C.

As a results-driven technology leader, I have extensive experience in Enterprise Solution Architecture, international team management, and interdisciplinary AI research and implementation. I have a proven track record of leading complex technology projects, developing AI solutions, & scaling products, including the use of workflow/task-based agent frameworks, LLMs, and completion engines. My expertise spans on large-scale use of AWS and Azure AI services, as well as the development of advanced, ethical AI platforms & robust AI governance frameworks that comply with security standards.Recognized by the US Government for my exceptional scientific ability, I serve as a technical lead on complex R&D initiatives. By blending deep technical expertise with hands-on leadership, I champion a culture of expertly automated DevSecOps and establish best practices for scalable architecture. I am a permanent resident and do not require sponsorship. COMPETENCIES• DevOps & AI-Driven Orchestration: Advanced enterprise automation & orchestration through a comprehensive DevSecOps toolchain; pioneering integration of agentic AI orchestrators & workflow/task-based agent frameworks; deep experience with the full AI lifecycle & MLOps• AI & Machine Learning: Generative AI (LLMs, RAG, Agent Architectures), AWS Bedrock, Azure AI Services, Microsoft Copilot, HCI, Personalized AI Solutions• Cloud & Enterprise Architecture: Enterprise Solution Architecture with a platform view, designing scalable, reusable, & secure AI solutions; Cloud-Agnostic Strategy & robust integrations with enterprise systems• Leadership & Product Management: Proven experience as a technical lead and subject matter expert with a strong product-solution mindset; AI-Driven Product Management, Agile Project Management• AI Governance & Risk Oversight: Development & implementation of robust AI governance frameworks, including policy, compliance, privacy, & risk assessments• Quantum Readiness & Post-Quantum Cryptography (PQC): Strategic planning for emerging threats from quantum computing, including quantum risk assessment, cryptographic asset discovery, & developing crypto-agile architectures. Knowledge of NIST PQC standards & roadmap development for migrating enterprise systems to quantum-resistant algorithms• Strategy & Compliance: Strategic Frameworks for security and compliance, CMMC & SOC Compliance, Data Governance & Security, & future-proofing cryptographic infrastructure

Experience

1. Ai Tech Lead

   Tao Mgt

   Jan 2024 — Present · Columbus, OH, US

   Performed hands-on AI engineering through the implementation of multiple agentic DevSecOps orchestrations, integrating custom AI agents and workflow/task-based agent frameworks into the CI/CD pipeline to automate intelligent deployments and enable self-healing infrastructure.• Scaled a comprehensive and reusable DevSecOps automation framework using Kubernetes, Jenkins, and Terraform, creating enterprise-ready AI architectures that standardized multi-cloud deployments.• Served as the technical lead to mentor and guide a specialized team of 10 engineers in developing and deploying enterprise-grade Generative AI products using LLMs and custom completion engines, demonstrating a proven ability to coach and upskill developers.• Architected and implemented scalable, secure cloud solutions on AWS and Azure AI Services, applying Infrastructure as Code (IaC) principles and establishing a robust AI governance framework for CMMC and SOC compliance.• Directed strategic technology transfer (STTR) initiatives with a strong product-solution mindset, developing proprietary intellectual property and AI solutions for enterprise and government clients.• Championed a \"left-shift\" strategy, setting best practices and development standards by integrating security into the early stages of the AI lifecycle to enhance product quality and compliance.• Pioneered a quantum risk readiness initiative by conducting a preliminary cryptographic asset inventory and developing a strategic roadmap for a phased migration to NIST-approved PQC standards, ensuring long-term data security against \'harvest now, decrypt later\' threats.

Education

• Ohio University

  Master of Science - MS, Physics