Mohamad Faizan Fordkar

• Lead innovation and engineering delivery for IBM platforms focused on AI
benchmarking, orchestration, and evaluation.
• Own technical direction for Arena Driver, a benchmarking and orchestration
platform that supports repeatable AI evaluation workflows across batch,
streaming, and hybrid execution models.
• Led the design of a plugin-based framework that improved reuse,
standardization, and extensibility across the benchmarking ecosystem.
• Architected Arena Judge, an AI evaluation platform supporting LLM-as-a-Judge,
Judge-LAAJ, configurable evaluator suites, and risk-based assessment workflows.
• Guided the build-out of telemetry, dashboards, runtime metrics, collaboration
services, VS Code integrations, and automation tooling needed to make the
platform operationally usable by teams.
• Drove sprint planning, technical roadmap creation, architecture reviews, and
stakeholder alignment across innovation and delivery workstreams.
• Mentored engineers on system design, platform thinking, and execution quality
while helping shape technical direction across the team.

• Helped build a real-time conversation intelligence platform for large-scale
customer interaction analysis.
• Architected and contributed to 15+ microservices across analytics, compliance,
and platform capabilities.
• Built systems for compliance monitoring and large-scale data processing in
production environments.
• Improved system throughput by 3x and supported enterprise deployments for
Fortune 500 customers.

• Built telecom fraud detection, compliance, and analytics systems for global
enterprise customers.
• Designed large-scale ETL and distributed data-processing pipelines.
• Developed real-time analytics platforms and delivered customer implementations
across multiple geographies.
• Supported major deployments including Reliance Jio, Etisalat, Telenor,
TeliaSonera, and Indosat.

• Led a team of 8 engineers building an AI-driven document processing platform.
• Drove architecture and delivery for event-driven services built on Kafka and
cloud-native platform components.
• Improved platform reliability and service performance, including 99.9%
uptime and 70% latency reduction.
• Balanced engineering execution with platform design, helping the team move
faster on high-throughput document workflows.