Pooja Mulchandani

Key Contributions:

• Worked successfully with a diverse group of coworkers to accomplish goals and address issues related to our products and services.

Projects:

• Database trimming on Kubernetes using python by taking user preference as Data Retention to improve system performance
• Developed Scale Validation procedure on K8s for modeling engine, enhancing reliability of ROA.
• Collecting and modeling - EVPN-IPVPN stitching service for DCI
• Collecting and modeling - SR Policy
• Collecting and modeling VPLS service Also adding Path computation and what-if analysis
• Automated development processes to enable early detection of critical problems in features.
• Performed API Standardization and API versioning for Swagger API

• Contributed to the R&D Engine team working on behavior-based malware detection systems.
• Developed and refined detection policies, increasing malware detection rate and minimizing false positives.
• Developed software features for antivirus solutions to enhance user security.
• Created internal tools in Python for telemetry data analysis and automated report generation, streamlining data insights.
• Optimized digital signature verification algorithms to improve performance.