Dev Agrawal

Designed Python-based REST APIs to enforce CI security tollgates and integrated service governance via OpsLevel, improving deployment safety and operational visibility and blocking 20% of applications from accessing vulnerable production data.

Implemented DevSecOps automation and governance across AWS environments, reducing MTTR and preventing 20-30% of vulnerabilities from reaching production while enforcing least-privilege across 37 accounts.

Engineered CloudFormation-based AWS Lambda infrastructure and automated CI/CD pipelines integrating SonarQube, Jenkins, Kubernetes and Docker, reducing manual setup by 70% and build times by 50%.

Built IaC and CI/CD automation for AWS Lambdas and containerized services, reducing manual setup by 70% and build times by 50% while driving 30% increase in library adoption via automated enforcement tools.

Conducted research on spam detection and recommendation systems, co-authoring a publication on hybrid bagging methods and developing an XGBoost/genetic-algorithm framework for course recommendations.

Co-authored a research publication on hybrid bagging spam detection using SVM and Random Forests and developed a metadata-driven recommendation framework leveraging XGBoost and genetic algorithms.

Completed a B.Tech. in Computer Science with coursework and projects focused on software engineering, machine learning, and cloud technologies.