AI, Data & Cloud Engineering graduate skilled in Python, SQL, machine learning, cloud platforms (AWS/Azure/OCI), and automation. Experienced in building data pipelines, dashboards, ML prototypes, CI/CD workflows, and mul…
AI, Data & Cloud Engineering graduate skilled in Python, SQL, machine learning, cloud platforms (AWS/Azure/OCI), and automation. Experienced in building data pipelines, dashboards, ML prototypes, CI/CD workflows, and multi-cloud environments. Strong analytical thinker with hands-on experience in AI agents, data processing, cloud deployment, troubleshooting, and IT systems. Passionate about solving real-world problems through AI-driven insights, scalable cloud solutions.
Simulated a VPN product to assess redundancy, resiliency, and least privilege principles.
Automated infrastructure validation and performance testing using Python CLI scripts.
- Simulated a VPN product to assess redundancy, resiliency, and least privilege principles. - Automated infrastructure validation and performance testing using Python CLI scripts.
Designed scalable AWS Elastic Beanstalk architecture for a high-growth client.
Proposed cost-efficient deployment model and simplified architecture documentation.
- Designed scalable AWS Elastic Beanstalk architecture for a high-growth client. - Proposed cost-efficient deployment model and simplified architecture documentation.
Built and debugged backend REST APIs using Java, Spring Framework, and SQL.
Simulated real-world financial workflows and improved backend logic accuracy.
- Built and debugged backend REST APIs using Java, Spring Framework, and SQL. - Simulated real-world financial workflows and improved backend logic accuracy.
Simulated cloud VPN/network architecture, testing redundancy, resiliency, and least privilege. Automated validation and performance testing using Python CLI tools.
• Configured AWS & Azure labs with automated resource provisioning. • Created Python + Bash scripts for environment checks, usage tracking, and documentation
Configured automated AWS & Azure labs with Terraform. Used Python/Bash scripts for resource provisioning, usage tracking, and essential environment health checks.
Built a business dashboard in Power BI featuring KPIs, trend analysis, & interactive filters. Automated ETL transformations using Python and SQL scripts.
Built and published an XGBoost ML model achieving 97.8% accuracy for financial credit scoring; performed end-to-end data cleaning, feature engineering, and PoC prototyping.
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