Transforming AI Research
into Enterprise-Scale Impact
- Abdul Mohammed—Senior AI Product Leader with 13+ years driving revenue-generating AI systems at scale across Fortune 500 enterprises.
- I architect and deliver production AI systems that generate measurable business outcomes. From LLM-powered personalization platforms serving 70M+ users to enterprise knowledge graphs processing 30TB+ data, I translate frontier research into scalable products—delivering $125M+ in proven revenue impact across Disney, Capital One, S&P Global, Amazon and Google
What Makes Me Different
Proven track record bridging research innovation and commercial execution: Deep technical fluency across LLMs, RAG architectures, and distributed ML systems combined with strategic product leadership that drives revenue growth. I translate complex AI capabilities into business value—from prototype to production, from research insights to market impact.
Seeking Senior PM, Group PM, or Director-level opportunities leading transformative AI product initiatives at innovation-driven organizations
Strategic vision grounded in technical mastery.
I bridge the gap between AI research and business value through hands-on technical leadership. From prototyping with LangChain and PyTorch alongside ML teams to architecting enterprise-grade RAG pipelines and designing rigorous evaluation frameworks—I combine deep technical fluency with strategic product thinking. Every decision is data-driven, every initiative validated through experimentation, and every outcome measured against business impact.
skills
13+ years of measurable impact
Progressive track record delivering transformative outcomes: from scaling Google Maps across 40+ global markets generating $1B in projected cost savings, to driving $125M+ revenue impact serving 70M+ users at Disney Parks. Each role demonstrates increasing scope and proven ability to deliver enterprise-scale products that move critical business metrics.
Driving AI Innovation at Enterprise Scale
Research-Informed, Production-First
Begin with deep assessment of the AI research frontier, then validate technical feasibility through rapid prototyping before roadmap commitment. Every architectural decision balances innovation potential against production constraints—ensuring capabilities ship reliably at scale.
Metrics-Driven, Iteration-Focused
Establish comprehensive instrumentation from inception—tracking model performance, user outcomes, and business KPIs simultaneously. Rigorous A/B testing validates every hypothesis, quantifies impact, and informs continuous optimization cycles.
Enterprise Architecture by Design
Build for scale from day one. Serving 70M+ users demands architecting for reliability, regulatory compliance, and governance upfront—not retrofitting later. Design systems that scale across technical, operational, and organizational dimensions simultaneously.
Strategic Cross-Functional Leadership
Success requires unified vision across diverse stakeholders. Translate fluidly between research scientists, ML engineers, product teams, legal counsel, and executive leadership—aligning technical possibilities with business strategy and organizational capabilities.
Product Portfolio & Case Studies
Side projects demonstrating deep AI product expertise and technical fluency—from systematic LLM evaluation to production-grade RAG systems.
TripSync - AI Group Trip Planner
TIME REDUCTION
Built AI-powered coordination platform transforming group travel planning through intelligent preference synthesis, collaborative decision-making, and integrated booking orchestration—reducing planning time from 10 hours to 10 minutes.
LLM Evaluation Framework
Test Cases
Systematic evaluation framework comparing GPT-4, Claude 3.5, and Gemini across 100+ diverse tasks spanning reasoning, coding, creative writing, and safety—revealing task-specific performance patterns and cost-accuracy tradeoffs.
RAG System with Rigorous Evaluation
Documents
Engineered production-grade RAG system comparing dense, sparse, and hybrid retrieval strategies across 1,000+ documents—achieving 85% retrieval precision while identifying systematic failure modes and optimization strategies.
AI Safety: Prompt Injection Defense System
Attack Vectors
Developed comprehensive prompt injection testing framework with 200+ attack vectors across jailbreaks, role-playing, and context injection—achieving 95% attack detection with <2% false positive rate.
Real-Time AI Code Assistant
Dev Speed
Built context-aware code assistance platform with intelligent suggestions and automated documentation generation—accelerating development velocity 2x while reducing production defects 60% through AI-powered code review.