Professional Summary
AI Product Manager with hands-on experience designing and building agentic workflows and multi-agent LLM systems for commercial applications. Combines Development Economics training (SOAS, London — MENA specialization) with practical AI implementation: building orchestration pipelines, designing workflow automation, and integrating LLMs (GPT-4, Claude, Llama 2) into production systems that drive adoption by internal teams.
Operates between product strategy and deep technical implementation — designing 6-agent architectures, implementing 4-layer processing pipelines, and achieving measurable B2B outcomes: 100% operational efficiency gains, 30% revenue growth, and 300% response time improvements for commercial and sales operations. Known for pattern recognition, forecasting market shifts, and translating complexity into tools that commercial teams actually use.
Core Competencies
- Agentic Workflow Design — multi-agent orchestration, LLM pipeline architecture, workflow automation for commercial teams
- AI Product Development — end-to-end delivery, internal adoption, user feedback loops, continuous improvement
- B2B Commercial Tools — CRM implementation, sales enablement, lead generation, account management systems
- Pipeline & Deal Automation — state management, progressive processing layers, predictive pattern recognition
- Cross-Functional Collaboration — partnering with sales, operations, and data teams to align product with business priorities
- Stakeholder Management — driving adoption, building trusted relationships, translating technical capabilities into business value
Languages
- English — Native / Fluent
- Arabic — Conversational (heritage language)
Professional Experience
- Designed and built multi-agent AI system with 6 specialized agents — a complete agentic workflow for automating complex B2B processes with orchestration, state persistence, and feedback loops
- Implemented 4-layer progressive pipeline for workflow automation: Evidence (deterministic) → Optimization (LLM) → Creative (optional) → Review (LLM QA) — supporting scalable, repeatable commercial processes
- Built Pipeline State management with JSON persistence for crash recovery, full auditability, and continuous improvement based on usage data
- Created Context-aware selection system with classification logic and confidence-based fallback — demonstrating predictive decision-making patterns
- Developed CLI framework with rich user interface to ensure internal adoption — 3 custom commands, intuitive options, clear feedback (~1,400 lines Python)
- Owned end-to-end delivery from concept to production-ready system with 2,155+ lines of Python code and 1,500+ lines of documentation
- Annual revenue: £200K → £300K (+£100K, year-end target met) driven via a composed AI-and-automation architecture across multiple production systems
- Conceived QuickKey B2B mobile platform — originated the product idea, designed the architecture, led the roadmap. Shipped partner onboarding workflows + commercial GTM strategy · 30% operational efficiency. Roadmap also included design + prototyping of a computer-vision key analysis pipeline (OpenCV → dimensional measurement → key-type classification → Keyline Ninja Total integration); handed off to development for production
- Designed and shipped context-augmented GPT-4 routing system for B2B email triage — three-branch classifier (guidance / quote / payment) with embedded service catalog, stepped pricing, and response templates. Built before context-augmented generation (CAG) was canonically named. 300% response-time improvement
- Built automated inventory management tracking 1,000+ SKUs — Python + Square API + threshold detection → Excel/PDF generation → supplier email automation. 30% revenue growth
- Implemented dynamic pricing engine, CRM with lead scoring, and structured customer data segmentation — directly improving sales team productivity and B2B account retention
- Applied quantitative analysis and market research to formulate B2B sales strategies, secured new contracts, and mentored junior consultants — driving adoption of AI-assisted workflows across the team
Key Projects
Designed and built complete agentic AI system for automating B2B application workflows. Architecture: 6 specialized agents, 4-layer processing pipeline with state persistence and feedback loops. Technologies: Python, Click CLI, Pydantic, LLM APIs (Claude, GPT-4). Result: production-ready system demonstrating end-to-end AI product delivery.
Implemented CRM workflows for B2B account management and retention. Cleaned and structured customer data, created segmentation strategies, built lead scoring logic. Result: increased engagement, improved pipeline visibility, higher lead conversion.
Built intelligent chatbot using GPT-4 and Azure for sales team productivity — automated email responses, quotation generation, client communication. Result: 300% response time improvement, reduced errors, improved customer satisfaction.
Led product roadmap for industry-transforming mobile application. Managed partner onboarding, feature prioritization, and go-to-market alignment. Result: 30% operational efficiency gain for commercial teams.
Designed workflow automation system tracking 1,000+ items with automatic reordering and supplier communication. Result: 30% revenue growth, significant cost reduction.
Technical Skills
| category | technologies |
|---|---|
| Agentic AI Systems | Multi-agent orchestration · Pipeline architecture · Workflow automation · GPT-4 · Claude · Llama 2 · Azure AI |
| Product Development | End-to-end delivery · User feedback loops · Adoption metrics · Roadmap management |
| Python | Click CLI · Pydantic · asyncio · dataclasses · Rich console · JSON serialization |
| Commercial Tools | CRM Implementation · Sales Enablement · Lead Generation · Account Management · Pricing Strategy |
| Data & Analytics | Quantitative analysis · Predictive patterns · Sales analytics · Econometrics · Customer segmentation |
| Prompt Engineering | JSON extraction · Structured outputs · Context management · Token optimization |
Education
- Quantitative focus: Microeconomics, Macroeconomics, Banking & Finance, Advanced Statistics
- MENA specialisation: Economic Structures and Policies in MENA countries
- Applied skills: Data Analysis, Economic Modelling, Market Structures & Growth Dynamics, Predictive Analysis