AI & Business Intelligence Architect · Full-Stack Engineer · Automation Builder

I turn business data, complex workflows, and AI capabilities into reliable products that people can actually use.

I design and build enterprise systems across Business Intelligence, AI agents, data products, automation, and full-stack platforms—from semantic analytics and executive dashboards to secure credit infrastructure, operational governance, and multi-tenant products.

My work usually sits at the intersection of:

• Business intelligence: KPI systems, CDP, behavioral analytics, WBR, marketing intelligence, menu engineering, and executive reporting
• AI engineering: BI Agents, semantic planning, tool-using workflows, evidence evaluation, memory, guardrails, and human approval gates
• Enterprise software: Next.js + NestJS platforms, RBAC, auditability, multi-tenancy, provider integrations, and production operations
• Automation: ETL, CRM and marketing workflows, reporting pipelines, and repetitive-process elimination

کمتر حرف می‌زنم؛ بیشتر می‌سازم.
Less talking. More building.

• Building a trustworthy BI Agent / GenBI runtime over governed semantic layers
• Turning enterprise dashboards into decision and action systems, not passive reports
• Designing reusable NestJS + Next.js foundations for secure business products
• Applying AI to automation without sacrificing evidence, observability, or human control

Most of my production work is private or company-owned, so public GitHub activity only shows a small part of the real work. These are some of the public-facing brands and business environments I have worked with, built systems around, or supported through BI, automation, software, and data products.

AI & semantic systems: LangGraph, Cube semantic layer, Vercel AI SDK, prompt engineering, tool orchestration, memory, evaluation, guardrails
BI & data: SQL, DAX, Power Query, Metabase, ETL, CDP, marketing analytics, behavioral analytics
Platform & operations: Prisma, Docker Compose, Traefik, GitHub Actions, Linux, observability, API integrations, n8n

Discover reality → Model the domain → Design the contract → Implement incrementally
→ Validate evidence → Observe production → Improve without breaking trust

• Discovery-first: inspect the real data, codebase, contracts, and constraints before designing
• Evidence-driven: analytical and AI outputs must be traceable to data and tool evidence
• Secure by default: authorization, auditability, error boundaries, and secret hygiene are architectural concerns
• Reusable foundations: solve the shared platform problem once, then keep domain logic explicit
• Controlled autonomy: high-risk AI and engineering workflows use phase gates, validation, and circuit breakers

• ChatGPT Persian RTL — focused Persian/Arabic RTL support for ChatGPT Web
• Nest + Next Enterprise Dashboard Core — reusable full-stack enterprise dashboard foundation
• Express + Pug + Bootstrap Starter — server-rendered Node.js starter

Most of my production work lives in private repositories and company-owned environments. The source code cannot be published because of confidentiality, security, and ownership constraints, but the systems below represent the majority of my hands-on engineering work.

• Enterprise Marketing Intelligence Platform — Cross-channel analytics for sales, campaign performance, customer behavior, retention, menu engineering, operational KPIs, and executive decision-making.
• AI-Powered BI Agent Runtime — A governed analytics agent with semantic planning, tool execution, evidence evaluation, memory, guardrails, and mandatory human approval gates.
• Customer Data & Behavioral Analytics Engine — Customer segmentation, purchase-pattern analysis, churn and retention measurement, cohort intelligence, and marketing optimization.
• Executive Performance Management Suite — WBR, MPM, KPI governance, branch and channel comparisons, anomaly detection, and management reporting across multiple business units.
• Enterprise Dashboard Portfolio — A suite of custom Power BI and web-based dashboards for finance, sales, marketing, customer experience, quality, and operations.

• Provider-Agnostic Credit Orchestration Core — Secure integration layer for multiple credit providers, authentication, OTP workflows, transaction lifecycle management, standardized errors, auditability, and operational observability.
• Customer Credit Pre-Check Portal — Customer-facing and administrative platform for credit eligibility checks, secure core integration, role-based access, session management, and traceable operational flows.
• Quality Governance & Inspection Platform — Enterprise inspections, configurable scoring, CAPA workflows, repeat-violation intelligence, SPC monitoring, analytics, and multi-format reporting.
• Multi-Tenant Digital Experience Platform — Tenant isolation, branded customer experiences, custom domains, branch-level configuration, deployment automation, and scalable operations.
• Reusable Enterprise Application Foundation — Next.js and NestJS core with authentication, RBAC, policies, sessions, audit logs, reusable UI, and production-readiness foundations.

• Financial Reporting Automation Engine — Automated ingestion, transformation, reconciliation, and reporting workflows that reduced report preparation from days to seconds.
• Smart CRM Feedback Automation — Automated customer-feedback and engagement workflows connected to operational data, improving branch ratings and response quality.
• Real-Time Order Integration Services — Reliable data pipelines and integration services for synchronizing order, customer, branch, channel, and operational data.
• Marketing Campaign & Gamification Systems — Campaign execution, segmentation, engagement mechanics, performance tracking, and automated customer journeys.
• Payroll & Internal Process Automation — Workflow automation for repetitive administrative, reporting, and operational processes with validation and traceability.
• Private Infrastructure & Deployment Systems — Dockerized deployments, Traefik routing, environment separation, secure networking, observability, backup practices, and production operations.

These projects are intentionally presented with public-facing product names instead of internal repository or client identifiers.

I hold a Master’s degree in Artificial Intelligence and a Bachelor’s degree in Software Technology Engineering. My career spans software development, business intelligence, marketing analytics, product building, automation, infrastructure, and technical education.