Full-stack engineer who ships production apps end-to-end — with a security & ML research streak.

Next.js · Flutter · Node/Fastify · PostgreSQL · Python ·  |  Snort3 · ML-based IDS · IoMT security

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I build and ship real products — multilingual (Arabic/Hebrew RTL) web and mobile apps deployed to production — and I do applied security & machine-learning research on the side. Most of my recent work is under NDA/private, so the highlights below are written up as case studies; the public repos further down are open to browse.

🛡️ ShieldMind — ML-augmented intrusion detection Network intrusion detection combining Snort3 signatures with a machine-learning classification layer for IoMT/network traffic. Focus: catching threats signature rules miss, without drowning operators in false positives. Python · Snort3 · ML pipeline

🏫 School coverage & absence system Production system for an elementary school that manages teacher absences and auto-suggests coverage — fully Arabic, right-to-left. Live and in daily use. Next.js 16 · Prisma 7 · PostgreSQL · VPS deploy

🧠 MisoCare — CBT research instrument Offline-first mobile app plus a research backend and admin panel, built as the intervention instrument for a funded (TÜBİTAK) clinical trial. Handles participant provisioning and assessment data end-to-end. Flutter · Fastify · PostgreSQL · Next.js admin

Frontend — TypeScript, React, Next.js, Flutter/Dart, RTL (Arabic/Hebrew) i18n Backend — Node.js, Fastify, Prisma, PostgreSQL, REST APIs Security & ML — Snort3, IDS design, Python (scikit-learn, pandas), Jupyter, network simulation (ns-3) Ops — Railway, Git/GitHub, Docker

• Portfolio: interactive one-pager →
• LinkedIn: linkedin.com/in/amr-basit
• Email: coming soon