AI/ML and DevOps Engineer with 8+ years of experience building scalable, production-ready systems across Generative AI, LLMs, MLOps, cloud infrastructure, Kubernetes, and automation. Experienced in Python, AWS, Azure, GCP, RAG, AI agents, CI/CD, Terraform, and containerized platforms, with a focus on turning complex technical challenges into reliable business solutions.…

Ashley Ad

AI/ML and DevOps Engineer with 8+ years of experience building scalable, production-ready systems across Generative AI, LLMs, MLOps, cloud infrastructure, Kubernetes, and automation. Experienced in Python, AWS, Azure, GCP, RAG, AI agents, CI/CD, Terraform, and containerized platforms, with a focus on turning complex technical challenges into reliable business solutions.…

Available to hire

AI/ML and DevOps Engineer with 8+ years of experience building scalable, production-ready systems across Generative AI, LLMs, MLOps, cloud infrastructure, Kubernetes, and automation. Experienced in Python, AWS, Azure, GCP, RAG, AI agents, CI/CD, Terraform, and containerized platforms, with a focus on turning complex technical challenges into reliable business solutions.

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Skills

Experience Level

Work Experience

DevOps Platform Engineer at DevConsole
January 1, 2022 - Present
Senior AI/ML, MLOps, and DevOps platform work (as described in resume summary) including production-grade AI/MLOps platforms across AWS/Azure/GCP, LLM/RAG/agentic AI pipelines, model-serving infrastructure, CI/CD and GitOps, Kubernetes platform operations, observability/SRE practices, and infrastructure automation/security.
Senior MLOps Engineer at Amazon
January 1, 2019 - January 1, 2022
Architected and operated enterprise-scale AI and MLOps platforms across AWS, Azure, and Kubernetes. Designed and deployed production Generative AI solutions including RAG pipelines and AI agents using OpenAI/Azure OpenAI, LangChain/LangGraph, and vector databases. Built highly available multi-region EKS/AKS Kubernetes platforms with GitOps/CI-CD automation, observability (Prometheus/Grafana/OpenTelemetry/ELK/Datadog), model-serving infrastructure for GPU optimization, and end-to-end MLOps pipelines (Kubeflow/MLflow/Airflow/Docker/Kubernetes) for training, validation, deployment, and monitoring.
DevOps Engineer at ZeeYo Tech
January 1, 2017 - January 1, 2019
Led design and deployment of production-grade Generative AI solutions (RAG/AI agents/LLM applications) using OpenAI/Azure OpenAI, LangChain/LangGraph, and vector databases. Built multi-region Kubernetes platforms (EKS/AKS) hosting microservices with high availability and automated disaster recovery. Implemented CI/CD and GitOps workflows (GitHub Actions/Jenkins/Azure DevOps/ArgoCD/Helm/Terraform), established observability with metrics/logging/tracing, and supported model-serving infrastructure and on-call reliability operations. Also implemented enterprise MLOps pipelines and GPU inference optimization.

Education

Bachelor of Science (B.S.), Computer Science at FAST — National University of Computer and Emerging Sciences (NUCES)
January 11, 2030 - August 21, 2026

Qualifications

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Industry Experience

Software & Internet, Healthcare, Education, Professional Services

Skills

Experience Level