I design and build agentic AI systems for enterprises — autonomous workflows that chain, orchestrate, and scale without human babysitting. My background spans product management at Deloitte, software engineering, data science, and interaction design. I specialize in turning manual, repetitive business processes into intelligent agent teams that handle deterministic, probabilistic, and human-in-the-loop workflows end to end.
I build the AI infrastructure layer that sits between your business logic and your team — agents that think, decide, create, and execute.
Architect multi-agent systems that handle deterministic tasks (data processing, reporting, ETL), probabilistic reasoning (analysis, recommendations, scoring), and human-in-the-loop approvals — all orchestrated as self-running pipelines.
Design and deploy agent teams that chain together — research agents feeding analysis agents feeding decision agents. Multi-step orchestration using Claude, GPT, and open-source models with routing, fallbacks, and quality gates.
Automated content generation pipelines for ad creatives, UGC-style videos, product imagery, copy variations, and social media assets. AI systems that produce creative at scale without manual production bottlenecks.
End-to-end automation architecture using N8N, Make, and custom integrations. Replace manual processes with intelligent pipelines that monitor, trigger, execute, and report autonomously.
Implementation using Claude Code, Cursor, and AI-native development workflows. Build internal tools, dashboards, and applications at 10x speed with AI-assisted engineering practices.
Technical architecture for AI infrastructure, data pipelines, API integrations, and cloud systems. From system design through deployment, monitoring, and iteration.
Platforms and tools I build with.
Deloitte — Product Management — Led product workstreams across AI/ML implementation, data platform strategy, and digital transformation programs for enterprise clients. Managed cross-functional teams bridging engineering, design, and business stakeholders on large-scale technology initiatives.
Four Degrees — Computer Science (BS), Human-Computer Interaction (MS), Data Science (MS), and Business Administration (MBA). This cross-disciplinary foundation means I don't just build AI systems — I design them for how humans actually think, decide, and work. The gap between a technically impressive AI demo and a system people actually use is product thinking, and that's where I operate.
International Experience — 8+ years working across the United States and the Middle East. Experience operating across jurisdictions, cultures, and regulatory environments. Currently advising clients globally from Dubai.
I work with a small number of clients at a time to ensure depth and quality.
Scoped engagements with defined deliverables, timelines, and milestones. Ideal for AI agent builds, automation implementations, and creative pipeline setup.
Ongoing fractional CTO / AI advisor role. Monthly retainer with dedicated hours for strategy, architecture review, agent development, and implementation support.