Bashar Ayyash
AI Engineer & Full-Stack Tech Lead Helping Businesses Grow with AI
I'm a Tech Lead and AI Engineer based in Amman, Jordan, specializing in Laravel, Next.js, React Native, and AI agents (RAG systems) for MENA businesses. Bridging the gap between 20 years of expertise and modern AI Agents.
Amman, Jordan 🇯🇴
The Arsenal
In one minute
Yabasha (Bashar Ayyash) is an AI Engineer and full‑stack tech lead based in Amman, Jordan. He helps MENA founders, CTOs, and product teams design and ship dependable software, then layer in AI where it drives measurable outcomes. His work spans system architecture, hands‑on implementation, and production hardening—security, performance, and observability—so products stay stable under real traffic. Typical engagements start with a short discovery and a vertical slice, then iterate weekly with documentation and handover. If you need a senior engineer who can own delivery end‑to‑end, he can help.
Key offerings
- •RAG assistants and tool‑using agents grounded in your docs, tickets, and databases
- •Laravel + Next.js platforms with auth, payments, and dashboards
- •React Native mobile app development for offline sync, performance tuning, and reliable app store releases
- •Workflow automation and integrations (queues, ETL, notifications)
Differentiators
- •Clear scope, fast feedback loops, and senior end‑to‑end ownership
- •Practical AI: evals, monitoring, and guardrails (not demos)
Who I Help
CTOs, product leaders, and founders in MENA who need a senior engineer to design and ship AI-powered products end-to-end.
Fintech & Mobile
React Native apps with payment integrations, secure flows, and real-device performance tuning.
AI & Data Platforms
RAG assistants, agent orchestration, offline-first sync, and data pipelines at scale.
SaaS & Operations
Laravel + Next.js platforms with multi-DB backends, queues, dashboards, and audit trails.
Dev Tools & Infra
Internal utilities, automation scripts, open-source tooling, and Laravel AI SDK work.
Web & Mobile Platforms
Robust, scalable platforms using Laravel for backend and Next.js for high-performance frontends.
Mobile App Development
Native-feel iOS and Android applications built with React Native and Expo. View mobile app service details.
AI Chatbots & Assistants
Production RAG assistants and tool-using agents that answer from your docs, tickets, and databases — with citations, access control, and evaluation. Read the RAG guide.
Experience & Proof
Experience across enterprise delivery and fast-moving product teams in the MENA region. References and deeper case studies are available on request.
How We Work
Clear scope, fast feedback loops, and production-quality delivery—without ceremony.
- 1. Scope & Success Metrics (2–5 days) — clarify the journey, constraints, risks, and define KPIs/SLAs/acceptance criteria.
- 2. Architecture & Plan (3–7 days) — choose the approach, map milestones, and lock the first deliverable.
- 3. Build the Vertical Slice (1–2 weeks) — deliver an end-to-end slice (UI → API → DB → observability) to validate direction early.
- 4. Iterate to Full Feature Set (2–6+ weeks) — ship weekly increments: features, edge cases, performance work, and stakeholder feedback loops.
- 5. Hardening, Launch & Ongoing Improvement (1–2 weeks + ongoing) — testing, security review, monitoring, rollout plan, and handover docs.
Production-Grade Standards
I optimize for reliability and maintainability—so the system keeps working when it's under load, audited, or handed to a team.
- •Testing by default: unit + integration + e2e where it pays off; realistic fixtures; regression coverage for critical flows.
- •CI/CD discipline: automated lint/type-check/tests, preview builds, safe migrations, and repeatable deployments.
- •Observability built-in: structured logs, metrics, traces, alerts, and dashboards tied to business KPIs (not just CPU).
- •Security-first engineering: least privilege access, secrets management, input validation, audit logs, and threat-aware reviews.
- •Performance budgets: latency targets, caching strategy, background jobs/queues, and profiling—not "optimize later."
- •React Native quality bar: crash-free sessions, offline handling, slow-device testing, startup performance, and app-store-ready release processes.
- •Data reliability: idempotent sync, conflict handling, backfills, and safe reprocessing for large-scale datasets.
- •AI safety & evals: prompt/version control, eval datasets, hallucination/grounding checks, tool-use guardrails, and human approval gates where needed.