Platform Engineer In Ai Resume Example
Professional ATS-optimized resume template for Platform Engineer In Ai positions
John Doe
Senior Platform Engineer – AI Infrastructure
Email: example@email.com | Phone: (123) 456-7890
EDUCATION
**Bachelor of Science in Computer Science**
University of California, Berkeley — Berkeley, CA | 2011 – 2015
CERTIFICATIONS
- **Certified Kubernetes Administrator (CKA)** — 2022
- **AWS Certified Solutions Architect – Professional** — 2021
- **Google Cloud Professional Data Engineer** — 2023
- **TensorFlow Developer Certificate** — 2020
PROJECTS
AI Model Deployment Platform
Developed an internal platform enabling seamless deployment, monitoring, and rollback of ML models across multi-cloud environments. Integrated model versioning, secret management, and resource allocation, resulting in a 40% faster deployment cycle and improved compliance.
Real-Time Data Ingestion & Processing System
Engineered a real-time data pipeline utilizing Kafka, Spark, and Kubernetes to support live AI inference workloads. The system handled 5 million events per day with 99.99% uptime, underpinning critical decision-making applications.
TOOLS & TECHNOLOGIES
- Cloud: AWS (S3, EKS, Lambda), GCP (Vertex AI, BigQuery), Azure
- Containers & Orchestration: Docker, Kubernetes, Helm
- CI/CD: Jenkins, GitLab CI, Argo CD
- Infrastructure: Terraform, Pulumi, Ansible
- Monitoring: Prometheus, Grafana, ELK Stack
- ML Frameworks: TensorFlow, PyTorch, ONNX
- Workflow Engines: Airflow, Kubeflow
LANGUAGES
- Python (expertise in automation, ML workflows)
- Bash & Shell scripting
- SQL & BigQuery for data querying
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