About Me

Discover how my expertise in AI, machine learning, and DevOps drives impactful solutions and fuels my passion for innovation.

Discover how my AI, machine learning, and DevOps expertise drives impactful solutions and fuels my passion for innovation.

Hi there! I’m Cora Jones, a seasoned Senior AI/ML DevOps Engineer with over nine years of experience designing and deploying scalable machine learning systems and data-driven solutions. My career is rooted in solving complex challenges through innovative AI models, advanced analytics, and cutting-edge cloud technologies. I specialize in creating end-to-end AI/ML pipelines and automating workflows that drive efficiency, reliability, and business transformation.

Beyond coding and analytics, I thrive on mentoring the next generation of developers, exploring emerging technologies, and collaborating with cross-functional teams to achieve ambitious goals. Whether optimizing large-scale cloud infrastructures or delivering secure, data-driven solutions, I am committed to pushing the boundaries of what’s possible in AI and DevOps.

Core Competencies

 

AI/ML Expertise

 

  • AI/ML Model Lifecycle Management: TensorFlow, PyTorch, Python, Model Deployment (Llama, ClaudeSonnet)

  • Advanced AI Integration: AWS Bedrock, SageMaker, scalable multi-cloud solutions

 

Cloud Infrastructure & Automation

 

  • Cloud Platforms: AWS (S3, Glacier, EC2, EKS), Azure ML, Google Cloud AI Platform

  • Infrastructure as Code: Terraform, Ansible, Kubernetes, Helm, Kubernetes HPA

 

DevOps & CI/CD

 

  • CI/CD Automation: Jenkins, GitLab, Argo CD, Secure Artifact Management (SonarQube, Nexus)

  • Containerization & Deployment: Docker, Kubernetes

 

Security & Observability

 

  • Security: IAM, MFA, Role-Based Access Control (RBAC), TLS Encryption

  • Monitoring & Compliance: AWS CloudWatch, CloudTrail, Real-Time Data Quality Metrics

 

Programming & Data Engineering

 

  • Languages: Python, R, YAML, Bash

  • Data Engineering: SQL, ETL Pipelines, Data Quality Monitoring

 

Leadership & Documentation

 

  • Cross-Functional Collaboration: Mentoring teams, Agile Leadership

  • Architecture Documentation: Visio Architecture Diagrams, Secure Multi-Environment Documentation

  

Professional Experience

 

Senior Solutions Specialist

 

Deloitte, Charlotte, NC

August 2024 – Present

  • Designed architecture documents for scalable cloud storage and compute resources, reducing operational costs by 30%.

  • Spearheaded AI/ML model lifecycle management using TensorFlow and PyTorch, achieving 20% lower latency across multi-cloud environments.

  • Implemented robust monitoring systems (AWS CloudWatch, CloudTrail) to maintain a 98% data consistency rate and reduce incident response time by 35%.

  • Deployed zero-trust security protocols (IAM with MFA and RBAC), ensuring 100% compliance with Deloitte’s standards.

  • Managed Kubernetes clusters and Helm Chart deployments, improving CI/CD efficiency and reducing deployment times by 40%.

 

Senior Generative AI & MLOps Engineer

 

Wells Fargo, Charlotte, NC

2015 – 2024

  • Automated MLOps pipelines with Docker, Kubernetes, and Argo CD, enhancing model retraining processes and sustaining a 95% production accuracy rate.

  • Optimized lifecycle and deployment of LLMs like ClaudeSonnet on AWS and Google Cloud, improving efficiency by 45%.

  • Developed SQL-driven data wrangling processes, visual dashboards, and real-time data quality insights, reducing error rates by 15%.

  • Established secure CI/CD workflows with Jenkins and Nexus, reducing deployment errors by 50%.

  • Authored comprehensive documentation, increasing team onboarding speed and reducing configuration setup time by 25%.

 

Senior Software Engineer

 

GDIT, Des Moines, IA

2011 – 2015

  • Developed user-facing and backend solutions using Python and AWS, reducing delivery timelines by 30%.

  • Built optimized ETL pipelines, improving data processing speeds by 30% while maintaining end-to-end data integrity.

  • Guided agile teams of 5+ engineers, achieving a 97% project success rate through iterative improvement.

  • Secured a $5M CMS contract with 92% client satisfaction by delivering high-quality, scalable software.

  

Education

 

  • M.S. in Business Analytics – Grand Canyon University

  • B.S. in Computer Science – Drake University

 

Certifications

 

  • AWS Certified DevOps Engineer (AWS)

  • Google Cloud Professional Machine Learning Engineer (Google Cloud)

  • Azure AI Fundamentals (Microsoft)

  • IBM AI Engineering Specialization (Coursera)

  • IBM Data Science Specialization (Coursera)

  • Google Data Analytics Specialization (Coursera)

  

Key Projects

 

AI/ML Workflow for Financial Applications

 

  • Built scalable pipelines on AWS Bedrock, improving fraud detection accuracy and reducing operational costs by 50%.

 

Data Warehouse Integration for AI

 

  • Leveraged Snowflake for real-time inference and centralized data management, reducing latency by 40%.

 

Kubernetes Optimization for AI Workflows

 

  • Configured PVCs and auto-scaling policies to support compute-intensive AI workflows, improving reliability by 60%.

  

Additional Skills

 

  • Full AI model lifecycle expertise: Development, monitoring, retraining

  • Skilled communicator and mentor, driving team success on complex AI initiatives

  • Dedicated to maintaining expertise in emerging AI/ML DevOps advancements