Arham Ali | AI/ML Engineer & Full-Stack Developer

Developer

Engineer

Building intelligent systems and scalable web apps.

I turn messy, complex problems into clean, deployed products.

I'm a CS undergrad at NUST Islamabad building at the intersection of AI/ML and full-stack engineering, designing end-to-end intelligent systems and scalable web apps, one of them serving 700+ active users.

arham.ts

const arham = {

role: ["AI/ML Engineer", "Full-Stack Developer"],

focus: ["intelligent systems", "scalable web apps"],

stack: ["Next.js", "Python", "TypeScript"],

location: "Islamabad, PK",

status: "building & shipping",

}

0+Users served

0+Projects shipped

0Active since

Education

NUST Islamabad, BS Computer Science

Sep 2023 – May 2027

DS & Algorithms
OOP
Databases
Machine Learning
Web Engineering

The stack behind the work.

AI & Machine Learning

Scikit-learn
Pandas
NumPy
AutoML
Model Evaluation
Grid/Random Search

Languages

Python
C++
JavaScript
TypeScript
SQL
HTML/CSS

Web Development

Next.js
React
Tailwind CSS
Flask
Streamlit
REST APIs

Tools & Platforms

Git
GitHub
Supabase
Firebase
MongoDB
Google Maps API
Gemini AI

Core stack

Next.js
+ Python

2023coding since

Selected work, shipped.

Five projects, from AutoML pipelines and an OS scheduler to platforms serving 700+ users. Scroll to explore.

EHS School Management System

luminabyehs.vercel.app

EHS School Management System secondary screenshot

Full-stack school platform serving 700+ students, with RBAC admin/operator dashboards via Supabase Auth, real-time attendance, fee automation, and class scheduling.

Next.js
Supabase
TypeScript

Live demo

EvZone QA Services Website

evzonetech.com

EvZone QA Services Website secondary screenshot

Production corporate site with a responsive, animated UI; secure API routes hardened with reCAPTCHA v3 + rate limiting, Google Sheets automation, and SSR.

Next.js
TypeScript
Firebase
MongoDB

Live demo

Hybrid CPU Scheduler

hybrid-cpu-scheduler.vercel.app

Hybrid CPU Scheduler secondary screenshot

Interactive simulator for a lock-aware Round Robin scheduler that defers processes which would block on a held lock, cutting wasted quanta under critical-section contention. Built from our NUST OS research paper.

Next.js
React
TypeScript

Live demo Research paper

AutoClasP: Automated Supervised Classification

autoclasp.streamlit.app

AutoClasP: Automated Supervised Classification secondary screenshot

End-to-end AutoML pipeline from ingestion to deployment; a Streamlit app for CSV/Excel upload + model viz, tuned via GridSearchCV / RandomizedSearchCV.