Pooja Shah

• Lead and owner of IVX Cloud
• Continued to enhance and improve IVX Cloud and Email Security products via individual development efforts
• Delivered new features and detection capabilities to customers.
• Collaborated with product management, sales and customer support to plan quarterly and yearly roadmap
• Completed SOC2 audit as engineering lead
• Successfully and efficiently investigated and resolved customer escalations seen in IVX Cloud and Email Security products

• Continued to enhance and improve IVX Cloud, Email Security, and Auto-Classification products via individual development efforts
• Successfully deployed IVX Cloud in multiple AWS commerical and govcloud regions.
• Led development/re-implementation and integration of McAfee’s Chimera system into Auto-Classification
• Designed an efficacy framework and Auto-Classification portal for new engine integration

• Continued to enhance and improve IVX Cloud, Email Security, Auto-Classification and Guest Images products via individual development efforts
• Created roadmap for feature development and release
• Coordinated with QA, product management, customer service and sales for new feature development.
• Investigated and deployed hotfixes for customer escalations
• Spearheaded 23R1 Guest Images release
• Developed a plugin framework to automate new detection engine integration with Auto-Classification

IVX Cloud

• As part of the early-stage development team, I helped create IVX Cloud, an config-driven cloud-based service that rapidly scans submitted content to identify malware.
• Integrated IVX Cloud with various cloud services including MS Teams, MS Outlook, MS SharePoint, Azure, and Salesforce
• Responsible for monitoring and maintaining the performance of the Intelligent Virtual Execution (IVX) engine in IVX Cloud
• Implemented multiple features and conducted investigations on reported bugs/customer escalations in both commercial and GovCloud AWS regions

Email IVX

• Collaborated on the enhancement of IVX Cloud's functionality through integration with Email Security product
• Managed GovCloud Email IVX deployments for optimal performance
• Directed the enhancement of features while also handling customer escalation investigations, debugging, and product maintenance across various commercial and GovCloud AWS regions

Guest Images (GIs)

• Collaborated with hypervisor and virtualization teams to enhance Guest Image functionality and boost malware detection
• Innovated a new mechanism for accelerating and optimizing Guest Image upgrades, resulting in improved performance

Web UI Artifacts

• Designed and developed a scalable and efficient config-driven system for managing UI plugins in multiple detection products
• Developed user-friendly plugins for displaying analyzed data from submitted objects and URLs
• Designed infrastructure for UI plugins enabling daily updates and deployments of new artifacts and plugins

Titan

• Redesigned and implemented FireEye Dynamic Threat Intelligence Cloud in AWS
• Achieved optimized system capability for successful management of vast volumes of malicious and telemetry data

Automated Triage System (ATS)

• Ensured successful feature development and fixes for ATS
• Developed a proof-of-concept random-forest classifier for analyzing customer submissions and identifying false-negatives

Guest Images (GIs)

• Constructed Windows, OS X, and Linux VMs to investigate and analyze advanced forms of malware
• Maintained back-end framework of Guest Images
• Developed automated system to create Guest Images for both Windows and OS X
• Enhanced efficiency of updating procedures by implementing improved measures for GI creation, download, and installation
• Effectively addressed customer concerns related to Guest Image download and installation

Automated Triage System (ATS)

• Developed telemetry data gathering framework