Al-Amin Khan
Full-Stack Engineer | Next.js • React Native • Laravel
Ready for work
Al-Amin is ready for their next project!
Architected and scaled ALTrainer, a modular Laravel 10 corporate LMS platform designed for enterprise workforce training, transitioning it from a legacy script to a complete custom B2B ecosystem serving multiple companies.
Delivered:
Complex multi-role RBAC hierarchy (Admin, Company Owner, Secondary Admin, Employee) with secure middleware and route protection for enterprise governance
Automated employee provisioning system and structured course enrollment tracks for streamlined onboarding
Live event management system with scheduling and attendance tracking capabilities
Robust certificate generation pipeline for course completion and achievement recognition
Platform security hardening with 2FA authentication flows, XSS sanitization, auth throttling, and secure upload middleware blocking malicious file extensions
Comprehensive 60-day technical roadmap addressing architectural bottlenecks
CI/CD integration, static analysis using Larastan, and automated regression testing for enterprise-grade stability
Results achieved:
Successfully transformed legacy codebase into scalable enterprise SaaS platform
Achieved enterprise-grade security standards meeting corporate compliance requirements
Delivered complete technical roadmap ensuring long-term platform stability and growth
Tech stack: Laravel 10, PHP, MySQL, RBAC middleware, CI/CD pipelines, GitHub Actions, Larastan static analysis
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Project Title: Bronson’s Bartending – Bespoke Event Beverage Ordering System
Overview
I developed a streamlined ordering and lead-capture platform for Bronson’s Bartending, a professional service provider in the US. The system is designed to simplify the complex process of selecting beverage packages and customizing orders for private events, weddings, and corporate gatherings.
The Challenge
Event bartending involves a lot of back-and-forth regarding alcohol choices, guest counts, and package types. The client needed a way to automate this intake process without the overhead of a complex database or a heavy admin panel.
The Solution
I built a high-conversion, multi-step booking flow that guides users through event details and package selection.
Automated Workflow: Instead of a traditional database, I implemented a Node.js/Express backend that instantly generates a detailed PDF of the order and sends it directly to the client’s email.
Modern Prototyping: Leveraging a modern AI-augmented development workflow (Lovable/Vibe), I was able to rapidly iterate on the UI/UX while ensuring a robust backend for reliable mail handling.
User Experience: Used Shadcn UI and Tailwind CSS to create a responsive, high-end interface that matches the brand’s "Luxe Experience" aesthetic.
Tech Stack
Frontend: React, TypeScript, Shadcn UI, Tailwind CSS.
Backend: Node.js, Express.js (Mail/PDF Automation).
Tools: Vibe/Lovable (Rapid Prototyping).
The Result
The platform now serves as a 24/7 digital concierge, allowing the client to receive structured, print-ready orders (PDFs) directly in their inbox, significantly reducing manual follow-up time and improving lead quality.
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Project Title: Vital Quest 360 – AI-Driven Clinical Health & Weight Management Ecosystem
Overview
Developed for a Chief Medical Officer at a specialized obesity clinic, Vital Quest 360 is a comprehensive health-tech ecosystem. It serves as a bridge between physicians and patients, allowing for real-time tracking of nutrition, vitals, and fitness goals within a clinical framework.
The Mission
The client needed a way to move beyond traditional paper-based tracking. The goal was to provide patients with an intuitive tool to log their daily habits while giving the medical team precise data to monitor progress and adjust treatment plans.
Notable Features
AI-Powered Insights: Implemented "AI Calorie Scan" allowing users to log meals instantly via image and voice recognition—significantly reducing user friction.
Comprehensive Clinical Logging: Built a multi-tabbed tracking system for Nutrition, Exercise, Vitals (Heart rate, Weight), and Medication adherence.
Physician-Centric Dashboard: A clean, data-rich interface for the medical team to analyze patient trends through visual charts and progress metrics.
Hybrid Tech Architecture: Seamlessly integrated a high-converting Next.js landing page with a robust React/Django web application to handle complex health data.
Tech Stack
Landing Page: Next.js, TypeScript, Shadcn UI, Node.js, Express.js, PostgreSQL.
Web App & Dashboard: React, Shadcn UI, Django (Python), MySQL.
Specialty: AI Integration (Image/Voice to Data), Data Visualization (Recharts/Chart.js).
The Result
Vital Quest 360 transformed the clinic's patient management workflow. By digitizing the tracking process and adding AI-assisted logging, the platform increased patient engagement and provided the medical team with actionable data to drive better health outcomes.
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Project Title: VAI Portal – Global Radiology Second Opinion & Consultation Ecosystem
Overview
I architected and developed VAI Portal, a high-performance healthcare ecosystem designed to bridge the gap between patients in Bangladesh and expert radiologists in the USA. The platform streamlines the process of sharing complex medical imaging (MRI/DICOM) for expert second opinions and facilitates real-time virtual consultations.
The Problem
International patients often face significant hurdles when seeking expert medical opinions across borders—manual file sharing is insecure, slow, and lacks a centralized workflow for radiologists to manage high volumes of MRI/DICOM reports.
The Solution
I built a secure, end-to-end web portal that prioritizes both patient accessibility and clinical efficiency.
Secure Patient Dashboard: Patients can easily upload medical reports and DICOM images through a simplified interface.
Radiologist Workflow: A specialized backend for the US-based expert to review cases, submit second opinions, and manage patient appointments.
Virtual Consultations: Integrated a seamless consultation module for face-to-face expert advice via the web.
Performance First: Optimized the entire Next.js frontend to achieve a 95+ Lighthouse performance score, ensuring the app remains snappy even when handling heavy medical data.
Tech Stack & Tools
Frontend: Next.js, TypeScript, ShadcnUI, Tailwind CSS.
Backend: Django (Python), MySQL.
Key Features: Secure Authentication, DICOM integration, RBAC (Role-Based Access Control), and Responsive Dashboards.
The Result
The VAI Portal has successfully transformed a manual, fragmented process into a professional digital ecosystem, making world-class radiological expertise accessible to patients regardless of their geographical location.
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