Platform Engineer in AI

**Bachelor of Science in Computer Science**

University of California, Berkeley — Berkeley, CA | 2011 – 2015

- **Certified Kubernetes Administrator (CKA)** — 2022

- **AWS Certified Solutions Architect – Professional** — 2021

- **Google Cloud Professional Data Engineer** — 2023

- **TensorFlow Developer Certificate** — 2020

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.

- 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

- Python (expertise in automation, ML workflows)

- Bash & Shell scripting

- SQL & BigQuery for data querying