• Developed serverless solutions using Go and AWS Lambda to run compliance and vulnerability scans for the container security platform, allowing for real-time reporting of security issues.• Integrated security tools such as Falco and AWS CloudWatch to establish real-time monitoring of admissioncontrol, runtime protection, and vulnerability scanning across cloud infrastructure.• Utilized Kubernetes, Helm and Docker to manage security policies for safeguarding cloud-native applications.• Automated deployment pipelines and infrastructure provisioning using AWS CloudFormation and Jenkins.

• Architected back-end modules and established data models using Django and PostgreSQL to support locationtracking and handle status updates for 100,000+ shipments.• Spearheaded the development of a multi-factor authentication feature that is used by 20% of current users.• Deployed an invoice processing pipeline using Amazon S3 and Textract to reduce processing times by 35%.

• Built a web application using React.js, Node.js and MySQL that seamlessly integrates Amazon S3 andSageMaker for predictive analysis, enabling clients to improve business strategies and increase profitability.• Utilized Random Forest, GBM and SVM models to achieve a base prediction accuracy of 81% on sales data.• Applied ensemble methods such as Bagging, Boosting and Stacking to improve model accuracy by over 12%.

Created a secure authentication and authorization framework using JavaScript and TypeScript by combiningmulti-factor authentication with the OAuth 2.0 protocol to enhance user security.• Developed a desktop application using Electron and Firebase to implement 5 distinct authentication methods.• Leveraged MongoDB and Redis to optimize data storage and caching to improve data retrieval time by 24%.