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AZ ALPER ZAKHERINTELLIGENT SYSTEMS ARCHITECT
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AI × Automation × Agentic Systems

ALPER ZAKHER

Turn Ideas into Intelligent Systems

Alper Zakher — Senior AI Automation Engineer & Agentic AI Developer

I design and build AI agents, business automation systems, LLM-powered products, internal tools, RAG systems and AI-integrated applications for companies.

AI AgentsAutomationRAG & KnowledgeAI Products
✓ Inspect real public code ✓ Transparent system architecture ✓ Direct collaboration
Alper Zakher
Scroll to experience the journey
THE INTELLIGENT JOURNEYSystems that move ideas forward
◎Understand the challenge
⌘Design the workflow
✳Build intelligent systems
◇Deliver & monitor
START WITH YOUR BUSINESS CHALLENGE

What do you need your business to do better?

You don’t need to choose a model or tool first. Pick your challenge and explore an example of the engineering behind a practical solution.

My team is stuck with repetitive work

Leads, approvals, CRM, finance, inboxes and scattered tasks that should flow safely between tools.

I need answers from my company knowledge

Build useful, source-grounded assistants for internal knowledge, documents or customer support.

I want an AI agent or complete product

A real app with governed agents, integrations, user roles, data and a production-ready experience.

THE INTERACTIVE SYSTEMS LAB

Don’t just read about AI. Step inside it.

Choose a business challenge, then click the architecture nodes to explore how information moves through checks, AI, human approval and controlled delivery.

INTERACTIVE WALKTHROUGH · NO LIVE DATA
Permission-awareHuman in the loopAudit trail
SYSTEM STAGE 1 / 5

Capture

Accept a lead from an approved channel with a traceable request ID.

Explore solutions ↗
Concept simulation only. No real customer data or external actions.
SYSTEM BLUEPRINTFrom first enquiry to approved CRM handoff
LIVE PUBLIC PROJECTS · GITHUB

Explore real work, inspect the code.

Public repositories sync automatically from GitHub. Each card links directly to its source. Open-source implementations are engineering evidence, not invented client results or unverified performance claims.

72public repositories Last synchronized:
Public source↗

MCP Composer

MCP tools to composed agent workflows

Python aiai-platform---agentsai-platform-core
Last push: View repository ↗
Public source↗

Model Router

Request to best model/provider

Python aiai-platform---routingai-platform-core
Last push: View repository ↗
Public source↗

Universal Doc Parser

Arbitrary financial docs to schema-mapped JSON

Python aidocument-ai---finance-docsfastapi
Last push: View repository ↗
Public source↗

Supplier Email Parser

Supplier thread to structured PO/procurement data

Python aifastapigui
Last push: View repository ↗
Public source↗

Shopify MCP Server

MCP tools to Shopify store operations

Python aie-commerce---shopify-opse-commerce-growth-suite
Last push: View repository ↗
Public source↗

LLM Billing Engine

LLM usage to metering and billing

Python aifastapifinance-document-suite
Last push: View repository ↗
THE AI SYSTEMS & AUTOMATION ATLAS

Beyond a few workflows. Explore the whole AI systems landscape.

From AI agents, CRM and data engineering to voice, vision, RAG, evaluation and model infrastructure: explore 24 concrete capabilities across eight disciplines. Each entry explains the business problem, engineering approach and safety constraints—not unverified promises.

24Capabilities 08Disciplines AI +Systems + Automation
24 capabilities shown
WORKFLOWSLead intake & CRM orchestration

Fragmented leads, slow qualification and duplicated follow-up.

Explore architecture & details ↗

The challenge

Fragmented leads, slow qualification and duplicated follow-up.

Engineering approach

Capture consented enquiries, deduplicate, enrich approved fields, qualify intent and route ownership across CRM and messaging.

Governance & safeguards

Consent, API scopes, deduplication, manual escalation and audit trail.

Typical building blocksCRM · Webhooks · LLM · API
Discuss your use case ↗
WORKFLOWSFinance & invoice automation

Invoices, receipts and reconciliations consume repetitive manual effort.

Explore architecture & details ↗

The challenge

Invoices, receipts and reconciliations consume repetitive manual effort.

Engineering approach

Extract fields, check totals and tax rules, match purchase orders, flag exceptions and create reviewed accounting drafts.

Governance & safeguards

Never post payments or journal entries without authorized validation.

Typical building blocksDocument AI · ERP · SQL
Discuss your use case ↗
WORKFLOWSProcurement & supply chain

Purchase requests and supplier updates become difficult to trace.

Explore architecture & details ↗

The challenge

Purchase requests and supplier updates become difficult to trace.

Engineering approach

Route requests, parse supplier emails, compare approved quotations, check inventory thresholds and issue tracked purchase workflows.

Governance & safeguards

Vendor decisions require defined sourcing rules and human approval.

Typical building blocksERP · Email · Rules · APIs
Discuss your use case ↗
AGENTSTool-using AI agents

A model can answer questions but cannot safely perform bounded operations alone.

Explore architecture & details ↗

The challenge

A model can answer questions but cannot safely perform bounded operations alone.

Engineering approach

Design agents with typed tools, task limits, retries, stop conditions and verifiable outcomes.

Governance & safeguards

Least privilege, action confirmation, prompt-injection defenses and logging.

Typical building blocksMCP · APIs · Function Calling
Discuss your use case ↗
AGENTSMulti-agent orchestration

Specialized research, planning, verification and execution steps need coordination.

Explore architecture & details ↗

The challenge

Specialized research, planning, verification and execution steps need coordination.

Engineering approach

Separate planning, retrieval, execution and critique with explicit inputs, outputs, ownership and recovery paths.

Governance & safeguards

Limit loops, budgets and delegation depth; require human control for consequential actions.

Typical building blocksAgent Graphs · Queues · Tools
Discuss your use case ↗
AGENTSBrowser & desktop copilots

Teams repeatedly interact with interfaces that lack a usable API.

Explore architecture & details ↗

The challenge

Teams repeatedly interact with interfaces that lack a usable API.

Engineering approach

Automate permitted UI workflows with visual state checks, exception handling and supervised handoff.

Governance & safeguards

Honor service terms, user authorization, session security and verification before submit.

Typical building blocksPlaywright · UI Automation
Discuss your use case ↗
KNOWLEDGEEnterprise RAG assistants

Company answers are scattered across PDFs, policies and internal portals.

Explore architecture & details ↗

The challenge

Company answers are scattered across PDFs, policies and internal portals.

Engineering approach

Ingest approved documents, chunk, index, retrieve, rerank and answer with citations.

Governance & safeguards

Filter by access rights before retrieval and abstain when evidence is weak.

Typical building blocksVector Search · Reranking · RAG
Discuss your use case ↗
KNOWLEDGEKnowledge lifecycle & copilots

Outdated FAQs and tribal knowledge undermine AI reliability.

Explore architecture & details ↗

The challenge

Outdated FAQs and tribal knowledge undermine AI reliability.

Engineering approach

Extract candidate knowledge, route editorial review, version articles and evaluate assistant answers.

Governance & safeguards

Publication approval, citations, freshness checks and redaction.

Typical building blocksCMS · RAG · Evaluation
Discuss your use case ↗
DATAData integration & ETL

Operational data is fragmented across CRMs, spreadsheets and databases.

Explore architecture & details ↗

The challenge

Operational data is fragmented across CRMs, spreadsheets and databases.

Engineering approach

Build event pipelines, normalization, validation, deduplication, warehouse models and monitoring.

Governance & safeguards

Schema contracts, PII minimization and failure replay.

Typical building blocksSQL · Python · ELT · Warehouses
Discuss your use case ↗
DATABI dashboards & reporting

Leaders need reliable operational views rather than static reports.

Explore architecture & details ↗

The challenge

Leaders need reliable operational views rather than static reports.

Engineering approach

Model KPIs, consolidate approved sources, automate reporting and surface drill-down views.

Governance & safeguards

Document metric definitions and avoid unsupported attribution.

Typical building blocksBI · SQL · APIs · Charts
Discuss your use case ↗
DATAForecasts, anomalies & alerts

Unexpected demand or system deviations can remain invisible until late.

Explore architecture & details ↗

The challenge

Unexpected demand or system deviations can remain invisible until late.

Engineering approach

Detect unusual patterns, estimate plausible scenarios and alert operators with confidence and context.

Governance & safeguards

Validate against holdout data, monitor drift and keep human decisions.

Typical building blocksForecasting · ML · Monitoring
Discuss your use case ↗
CUSTOMEROmnichannel customer support

Customer context is lost between chat, email, helpdesk and voice.

Explore architecture & details ↗

The challenge

Customer context is lost between chat, email, helpdesk and voice.

Engineering approach

Classify and route conversations, draft grounded answers, maintain tickets and escalate complex cases.

Governance & safeguards

Consent, escalation, identity verification and safe refusal.

Typical building blocksHelpdesk · CRM · RAG
Discuss your use case ↗
CUSTOMERSales intelligence & follow-up

Pipeline signals and follow-up actions often go unprioritized.

Explore architecture & details ↗

The challenge

Pipeline signals and follow-up actions often go unprioritized.

Engineering approach

Summarize approved meeting notes, identify next steps, flag stale opportunities and draft reviewed follow-ups.

Governance & safeguards

Respect communication preferences, consent and anti-spam rules.

Typical building blocksCRM · Transcription · AI
Discuss your use case ↗
CUSTOMERMarketing operations & personalization

Campaign operations demand coordination across content, creative and measurement.

Explore architecture & details ↗

The challenge

Campaign operations demand coordination across content, creative and measurement.

Engineering approach

Plan content, manage approval workflows, unify campaign reporting and personalize authorized segments.

Governance & safeguards

Brand approval, privacy controls and platform policy compliance.

Typical building blocksAds APIs · Analytics · CMS
Discuss your use case ↗
MULTIMODALDocument intelligence & OCR

Forms and contracts arrive as inconsistent formats and manual scans.

Explore architecture & details ↗

The challenge

Forms and contracts arrive as inconsistent formats and manual scans.

Engineering approach

Classify pages, extract fields, validate schemas, highlight uncertainty and create reviewer queues.

Governance & safeguards

Redact sensitive fields and require approval for consequential documents.

Typical building blocksOCR · Vision · Schemas
Discuss your use case ↗
MULTIMODALVoice assistants & call workflows

Calls, multilingual voice notes and appointment requests are hard to structure.

Explore architecture & details ↗

The challenge

Calls, multilingual voice notes and appointment requests are hard to structure.

Engineering approach

Transcribe permitted audio, identify intent, route requests and design voice assistants with handoff.

Governance & safeguards

Disclosure, recording consent, accent testing and secure retention.

Typical building blocksASR · TTS · Voice AI
Discuss your use case ↗
MULTIMODALComputer vision & media pipelines

Image and video assets need classification, quality checks and structured metadata.

Explore architecture & details ↗

The challenge

Image and video assets need classification, quality checks and structured metadata.

Engineering approach

Build permitted image/video analysis, asset tagging, moderation, captioning and review pipelines.

Governance & safeguards

Human review for sensitive inference, rights clearance and bias checks.

Typical building blocksVision · Media · Workflows
Discuss your use case ↗
PRODUCTSCustom AI applications

A chatbot alone is rarely a complete business product.

Explore architecture & details ↗

The challenge

A chatbot alone is rarely a complete business product.

Engineering approach

Build dashboards, review queues, user roles, APIs, durable databases and production UX around AI.

Governance & safeguards

Authentication, authorization, audit logs and graceful failure states.

Typical building blocksReact · Node · Python · SQL
Discuss your use case ↗
PRODUCTSAPI integration & MCP platforms

Applications and agent tools require consistent service contracts.

Explore architecture & details ↗

The challenge

Applications and agent tools require consistent service contracts.

Engineering approach

Build typed REST/GraphQL/MCP connectors, webhooks, queues, idempotent endpoints and observability.

Governance & safeguards

Token scopes, secrets vault, rate limits and rollback design.

Typical building blocksMCP · REST · Webhooks
Discuss your use case ↗
PRODUCTSModel routing & LLMOps

Models have different capabilities, costs, privacy rules and latency.

Explore architecture & details ↗

The challenge

Models have different capabilities, costs, privacy rules and latency.

Engineering approach

Use policy-based routing, fallbacks, budgets, caching, prompt versions and evaluation gates.

Governance & safeguards

Data residency, prompt safety, provider terms and cost caps.

Typical building blocksLLMOps · Gateways · Evals
Discuss your use case ↗
TRUSTAI quality, evaluation & monitoring

Promising demos can silently fail on real workloads.

Explore architecture & details ↗

The challenge

Promising demos can silently fail on real workloads.

Engineering approach

Define success criteria, test datasets, groundedness metrics, traces, alerts and regression tests.

Governance & safeguards

Avoid fabricated benchmarks; report uncertainty and incident pathways.

Typical building blocksEvals · Tracing · Monitoring
Discuss your use case ↗
TRUSTHuman-in-the-loop operations

Not all AI decisions should execute autonomously.

Explore architecture & details ↗

The challenge

Not all AI decisions should execute autonomously.

Engineering approach

Build approval queues, role-based checkpoints, exception paths, reversals and operator tooling.

Governance & safeguards

Separation of duties, authorization and nonrepudiation.

Typical building blocksRBAC · Audit · Workflow
Discuss your use case ↗
TRUSTSecurity, privacy & AI governance

AI integrations can expose sensitive information or unsafe tools.

Explore architecture & details ↗

The challenge

AI integrations can expose sensitive information or unsafe tools.

Engineering approach

Threat-model workflows, enforce tenant isolation, redact PII, secure credentials and monitor abuse.

Governance & safeguards

Least privilege, retention/deletion policies and red-team testing.

Typical building blocksIAM · Privacy · Security
Discuss your use case ↗
FROM DISCOVERY TO PRODUCTION

What turns an AI demo into a dependable system?

A useful AI system needs the complete engineering foundation—not just a model or prompt.

  1. 01
    Discover

    Map users, workflows, data boundaries and measurable outcomes.

  2. 02
    Data foundation

    Prepare approved sources, quality checks, retention and access rules.

  3. 03
    Intelligence

    Choose models, retrieval, tools and integration patterns.

  4. 04
    Control plane

    Add validation, approvals, failure recovery and execution limits.

  5. 05
    Product experience

    Build usable interfaces, explanations and error-handling paths.

  6. 06
    Operate & evaluate

    Test outcomes, monitor quality, cost, security and reliability.

BEHIND THE SYSTEMS

Engineering the ideas into real-world systems.

Alper Zakher designs AI agents, business automation systems, RAG systems, internal tools and AI-integrated applications from Cairo for companies in Egypt, Saudi Arabia, the GCC and internationally.

01 / 08

What I build

AI agents that act through approved tools; workflow automations that connect business systems; RAG and document systems grounded in company knowledge; and production-minded internal tools and AI products.

02 / 08

Business problems I solve

Lead qualification, CRM handoffs, document extraction, support triage, internal knowledge retrieval, reporting, approvals and operational alerts can be mapped into controlled, reviewable workflows.

03 / 08

AI Automation

Connect triggers, APIs, rules, data stores, approvals and reporting. Deterministic workflow logic stays in control while models handle bounded interpretation, extraction, drafting or classification.

04 / 08

AI Agents

Build tool-using agents with scoped permissions, retrieval, structured outputs, approval gates, audit trails, stop conditions and human escalation.

05 / 08

AI Systems

Create the product and data layers around AI: RAG, document pipelines, internal tools, APIs, model routing, evaluation and observability.

06 / 08

Selected case studies

Evidence-led notes explain the problem, constraints, architecture, implementation and available public proof. Results remain qualitative whenever a defensible benchmark is unavailable.

View case studies ↗
07 / 08

Flagship public projects

MCP Composer, Model Router, Universal Document Parser, Invoice AI, Supplier Email Parser and developer tools demonstrate concrete system patterns without being presented as client engagements.

Explore the portfolio ↗
08 / 08

Process

Discovery maps the workflow. Scope defines users, data, permissions and success. Build starts with the smallest useful path, followed by evaluation, staged release, monitoring and iteration.

CLARITY BEFORE COMMITMENT

Good questions. Clear answers.

Who is Alper Zakher?

Alper Zakher is the professional name of Alper Nabil Gabra Zakher, a Cairo-based Senior AI Automation Engineer, Agentic AI Developer and AI Systems Builder.

Does Alper work with companies in Saudi Arabia?

Yes. Alper supports Saudi and GCC companies remotely from Cairo and does not claim a physical Saudi office.

Can Alper connect AI to existing systems?

Yes. Work can include APIs, CRMs, WhatsApp-enabled workflows, databases, document pipelines and internal tools, subject to provider access and security requirements.

HOW A PROJECT MOVES FORWARD

A clear path from first conversation to a usable system.

No technology shopping list up front. First we map the workflow, data, permissions and evidence of value—then decide what is actually worth building.

Discovery

Understand the people, bottlenecks, outcomes and systems involved.

Scope & architecture

Define a practical scope, data sources, integrations, approval gates and risks.

Build & validate

Build a focused path, test with approved data and review failures before expansion.

Release & improve

Release with permissions, logs and monitoring; iterate from observed evidence.

Timing, pricing and delivery depend on system complexity, data access and integration scope. We define those before making commitments.

Book a discovery conversation ↗
THE NEXT CHAPTER

Your next big idea deserves a real system.

Bring the business challenge, the constraints and the goal. We’ll explore the smallest useful system, with safeguards and a clear next step.