* Engineering a FedRAMP High-authorized cloud data security scanner, from 0 to 100, detecting security risks in a customer's cloud provider account data.

* Implementing a Posture management remediation tool, using Golang and cloud/edge services, that corrects potential security risks in a client's SaaS account.

* Developing an updated Cloud Access Security Broker in Go, providing 4x faster API performance and improved security scanner performance.

◦ Increased company revenue through development of a workforce management tool, using an Angular frontend and a NestJS/RabbitMQ/Python backend.

◦ Implemented real-time activities to the workforce management tool (schedule generation, updates), as well as predicted forecasts on company activity.

◦ Redesigned the company’s employee performance reporting software, using Ionic, Jaspersoft, and NestJS, that real-time updates on employee and group customer service performance.

• Investigated new technologies and methodologies to assess potential security vulnerabilities in Google Cloud Platform and devise solutions to mitigate them as part of abCloud Team.

• Implemented a new context-aware security feature, using C++ and Java, to encapsulate systems running on GCP.

• Utilized unit and integration tests, written in C++, Java, and Python, to ensure the stability of new features.

• Successfully enhanced Google’s code-coverage system for Baseboard Management Controller builds, resulting in easier analysis of builds and results.

• Consolidated code coverage unit tests, leading to more efficient outputs for reporting, visualizing, and comparing the differences between builds.

• Optimized code coverage process to provide metrics and user options when selecting the type of machine to build.

• Developed a system using Python to detect anomalies in real time credit card transactions by comparison with a statistical model.

• Optimized the model through the processing of data logs to reduce run-time from an hour to under 3 minutes.

• Automated the team’s current method of tracking anomalies in transactions, eliminating manual tracking.