AI/ML Ops & DevOps Engineer with 4+ Years Experience

Praveen Vardaraju

Location: Champaign, IL Phone: 217-***-**** Email: *****************.**@*******.*** SUMMARY

AI/MLops & DevOps Engineer with 4 years of experience in cloud automation, CI/CD, and ML pipeline orchestration using Python, Kubernetes, Terraform, and Kubeflow, delivering scalable, data-driven infrastructure across AWS, Azure, and GCP.

PROFESSIONAL EXPERIENCE

AI/MLops Engineer UBER USA Jun 2025 – Present

● Deployed end-to-end MLOps pipelines using Kubeflow, Airflow, and Docker, automating lifecycle management for 68 production models processing over 5.6 TB of real-time trip and demand data across 27 urban markets.

● Developed CI/CD workflows for model delivery through Jenkins, Terraform, and Kubernetes, enabling continuous deployment of microservices and cutting model release turnaround by 10.4 hours per sprint.

● Integrated monitoring and model drift detection systems with Prometheus, Grafana, and AWS SageMaker Model Monitor, tracking 2.3 billion inference events monthly and improving model reliability across ride prediction and pricing systems.

● Optimized data ingestion and feature store performance by refactoring ETL pipelines in Python and Spark, reducing data preprocessing latency by 7.8 seconds per batch across multi-region ML clusters. DevOps Engineer Dell Technologies India Jan 2020 – Jul 2023

● Architected and maintained hybrid CI/CD pipelines using Jenkins, Terraform, and Kubernetes, supporting 1,800+ monthly deployments across multi-cloud infrastructure and improving release reliability across 12 enterprise-grade product lines.

● Automated data ingestion and deployment workflows via Airflow and Python-based ETL jobs, processing 6.2 TB of telemetry and product analytics data weekly, enabling data science teams to run real-time model validations.

● Provisioned scalable infrastructure using AWS (EKS, EC2, and S3) and Azure DevOps, standardizing compute environments for 35 distributed microservices and reducing environment setup time from 14 hours to under 4 hours.

● Integrated observability and performance monitoring using Prometheus, Grafana, and Datadog, tracking 1.4 million daily container events, improving fault detection response by 2.3 hours per incident.

● Developed infrastructure-as-code templates with Terraform and Ansible, automating lifecycle management of over 240 cloud resources, ensuring consistency and compliance across dev, staging, and production clusters.

● Optimized storage and compute resource allocation by analyzing S3 and EBS utilization metrics, reclaiming

$180,000 in annual operational costs through automated cleanup and provisioning scripts.

● Orchestrated blue-green deployment strategy using Docker and Kubernetes namespaces, enabling seamless version rollouts and reducing service downtime to less than 2 minutes per release.

● Collaborated with data engineering and security teams to implement data pipeline reliability metrics and IAM role-based access policies, ensuring compliant data transfers for 9 internal analytics workloads and external APIs.

TECHNICAL SKILLS

● Programming Languages – Python, Java, JavaScript, Bash, YAML, JSON

● DevOps & CI/CD – Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline, CI/CD Automation, Build & Release Pipelines

● Cloud & Infrastructure – AWS (EC2, S3, Lambda, EKS), Azure (AKS), GCP (Compute, GKE), Serverless Architecture

● Containerization & Orchestration – Docker, Kubernetes, Helm, Kustomize, Microservices Deployment

● Infrastructure as Code (IaC) – Terraform, CloudFormation, CDK, YAML/JSON Templates, Automated Provisioning

● Monitoring & Observability – Prometheus, Grafana, CloudWatch, ELK Stack, Logging & Alerting

● AI/ML Engineering – scikit-learn, TensorFlow, PyTorch, Model Training, Feature Engineering, Model Evaluation

● MLOps – MLflow (Tracking, Model Registry), Model Deployment, Model Serving, Containerized ML Pipelines

● Data Engineering Basics – Python (Pandas, NumPy), ETL Pipelines, Data Validation, Data Transformation

● Automation & Scripting – Python Automation, Shell Scripting, REST API Integration

● AI Platforms & APIs – OpenAI API, Hugging Face Transformers, LLM Integration, Prompt Engineering

● Version Control & Collaboration – Git, GitHub, GitLab, JIRA, Confluence, Agile/Scrum EDUCATION

Eastern Illinois University — M.S. in Computer / Computer Systems Charleston, IL Aug 2023 – May 2025

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