Cloud & Data Science Engineer with 3+ years experience in AWS, MLOps, and Kubernetes. I architect secure, scalable digital ecosystems and transform data into predictive insights.
Experienced Cloud and Data Science Engineer with expertise in designing, implementing, and maintaining scalable cloud infrastructure and machine learning pipelines.
I specialize in bridging the gap between data science and engineering, enabling organizations to deploy AI/ML models efficiently in production environments.
AWS, GCP, Azure, Kubernetes, Docker
Python, TensorFlow, PyTorch, Scikit-learn, Pandas
Terraform, CI/CD, GitHub Actions, Jenkins, ArgoCD
University of XYZ (2020-2022)
Specialized in Artificial Intelligence and Cloud Computing.
ABC Institute of Technology (2016-2020)
Graduated with honors in Data Science specialization.
AWS, Terraform, Kubernetes, CI/CD, DevSecOps
TensorFlow, OpenCV, FastAPI, Model Deployment
IAM, Encryption, SIEM, Risk Mitigation
UiPath, N8N, Python, Cloud Automation
Automated migration of legacy systems to cloud-native architecture.
End-to-end machine learning pipeline with automated model deployment.
Scalable data processing platform for analytics and ML.
Amazon Web Services
Google Cloud
Cloud Native Computing Foundation