Full-Stack · AI Systems · Product Engineering

Engineering scalable web platforms & AI microservices

Hashir Amanullah — Full-Stack Engineer & AI Systems Lead. I design and ship multi-tenant product systems, dual-engine AI features, and interfaces that feel calm under real users.

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Available for Lead & AI Projects

Remote · Worldwide

Focus

Senior judgment for products where the interface is the business.

I partner with founders and product leaders when the stack needs to ship — architecture, AI integration, and UI polish that show up in outcomes.

Flagship Case Studies

LMS at ZAWTech.ai + Publisher SaaS for Thailand client

MERN → FS

Growth Path

Gamica Cloud course & internship into remote full-stack roles

AI + Web

Systems Built

Next.js platforms paired with Python / OpenAI workflows

Remote

Delivery

Company roles + international client work, async-first

Frontend engineering

Selected product UI.

Editorial presentation of frontend builds — brand systems, responsive layouts, and interaction detail. Not a card grid.

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MFS merchant dashboard with wallet balance, till QR, and live payments feed

MFS Merchant Portal

Fintech merchant dashboard for collections, settlements, and live payments.

Open showcase →

Selected work

Case studies with product impact.

Real platforms shipped for real teams — written so a founder or editor can understand the outcome without reading the codebase.

All projects

Full Stack Developer2024 — 2025ZAWTech.ai

AI-Powered Adaptive Learning & Gamified Assessment Engine

Next.jsPythonOpenAI APIRBAC Architecture

At ZAWTech.ai I helped build an LMS that makes online assessments feel alive — students get fresh AI-generated questions instead of memorized banks, and a rocket that moves with every correct answer keeps them engaged through longer quizzes. Teachers spend far less time writing unique papers while institutions keep full control through a four-tier RBAC model.

Selection Control

LMS configuration portal with roles and taxonomy controls

Role & taxonomy configuration for multi-tenant governance.

Architecture breakdown

RBAC System

Super Admin, Admin, Teacher, and Student role isolation — from org billing & LLM budgets down to course modules and learner progress.

Dual-Engine Assessment

Toggle between high-throughput database quizzes and OpenAI real-time generation via a Python microservice with structured JSON output.

Rocket Motion Engine

Framer Motion trajectory synced to correctness state — correct answers advance the rocket; incorrect answers hold position to reward precision.

Multi-Format Support

MCQ, Fill-in-the-Blank, and Passage comprehension logic covering recall, terminology, and deeper analytical understanding.

<2s

AI quiz generation feel

60%+

Less teacher question-writing overhead

↑

Quiz completion vs. static forms

Read full case study →

Full-Stack Engineer2024 — 2025ASWAD Innovations & Sustainability · Bangkok, Thailand

Scalable SaaS Publisher Platform

Next.jsPythonOpenAI APIPublisher SaaS

The Thailand-based publishing team was stuck in fragmented tools — content in one place, reviews in another, and metrics somewhere else. We built one calm platform where admins see the full pipeline, editors act on what matters today, and reviewers can evaluate manuscripts without chaos. Non-technical stakeholders can finally run day-to-day publishing with confidence.

Admin Analytics

One operations view for manuscript flow, production status, and publication health — instead of hopping between spreadsheets and tools.

Architecture breakdown

Calm Ops Dashboard

Redesigned admin and editor surfaces for scannability — so publishing teams find status, bottlenecks, and next actions without a steep learning curve.

End-to-End Editorial Flow

Submission → review → revision → decision → production, modeled as a clear pipeline with role-appropriate views for admins, editors, and reviewers.

AI Engagement Assist

OpenAI-assisted quiz generation from article context, with editorial quick-edit before publish — faster engagement content without giving up quality control.

Modular Full-Stack Core

Next.js product UI with Python services and clean API boundaries for content, roles, media metadata, and analytics — ready for more publisher tenants.

Faster

Editorial workflow from submission to decision

Clearer

Dashboards non-technical teams can run daily

Ready

Decoupled stack for future publisher onboarding

Read full case study →

Client endorsement

Verified Project Delivery

MashaAllah — a great achievement, Hashir. Well done. First time we have reached one complete cycle for article submission to acceptance. Thank you very much.

First complete article cycle: submission to acceptance

WhatsApp delivery note from Qudeer about completing the journal publishing cycle — From the live project chat after the first full submission → acceptance cycle.

Contact

Let’s scope the work that actually moves the product.

Send a direct inquiry with context, or request a focused 15-minute strategy call. Both routes land in my inbox with your details attached.

Prefer email? hello@hashir.dev