Ifeanyi Okafor

Led GenAI Reasoning product development as a direct report to the Chief Product Officer, defining comprehensive roadmaps for Agent-to-Agent, Agent-to-Tool, and Multi-human orchestration layers.

Designed and built an orchestration system enabling real-time, full-duplex human-to-agent collaboration, critical for achieving Collaborative AGI and managing complex "chatter control" in hybrid teams.

Developed and implemented an internal prioritization framework that drove cross-functional clarity, leading to company-wide adoption and identifying Finance as a key frontier for AGI advancement.

Currently developing a CFA Level 1 certified Financial Analyst expert agent, leveraging advanced techniques like LoRA, multi-agent architecture, and MDP-based Reinforcement Learning.

Influenced research and leadership to adopt industry certifications (CFA, IBM Data Science) as benchmarks for AI agent evaluation, complementing standard AI benchmarks (GPQA, AIME, MMLU, GSM8K).

Founded Amazon Q as a Senior Product Manager, introducing Minimum Viable Research Experiments (MVRE) to accelerate shipping improvements and reduce mean time to production for research papers by 45%.

Achieved 'Exceeds High Bar' rating for leading product development and launching an orchestrator that enabled AWS service teams to onboard domain-specific LLMs, increasing active usage by 200% in 3 months.

Owned the product vision and roadmap for Amazon Q Multi-Agent Orchestration, reducing new agent onboarding time by 75%, expanding use case coverage by 300%, and increasing satisfaction by 4% within the first year.

Led cross-functional realignment on core metrics, introducing reformulation rate, zero-retry completion, and sub-3-retry completion to enhance end-user experience and drive long-term retention.

Achieved 'Exceeds High Bar' rating as Lead Product Manager for AWS CodeGuru, directing a team of 32 (23 SDEs, 6 Applied Scientists, 3 Managers) to build and launch CodeGuru Security.

Drove multi-million dollar revenue growth within 6 months of launch by implementing Growth Loops (~20% MoM growth), reducing Task Completion Time by 25% (achieving 96.3% 3-month retention), and prioritizing precision for high-quality detections.

Utilized strong analytical skills to identify user engagement variations across cohorts, re-aligning the product roadmap based on A/B test findings and improving 3-month retention for lagging cohorts by 3 percentage points.

Owned cloud infrastructure strategy for AWS regions in New Zealand, Thailand, and Taiwan, projected to generate over $10 billion in AWS revenue and drive over $30 billion in GDP growth over 10 years.

Led cross-functional stakeholders through the creation and justification of a multi-billion dollar investment into new AWS regions, securing CEO approval for the launch of three new cloud regions.

Uncovered a core customer need (earthquake risk mitigation) for the Taiwan AWS cloud region, translating it into product requirements (availability zone isolation) that led to government adoption and business growth.

Led a product and service delivery team of 18 (6 direct, 12 indirect reports) to achieve #1 ranking out of 32 global regions in service quality within the first year.

Directed the field evaluation of a new instrumentation and data processing application, reducing end-user task completion time by over 40%.

Earned an 'Outstanding' rating for innovation and continuous curiosity in understanding and addressing evolving customer needs.