AI & Full-Stack Developer · Islamabad, Pakistan

I build useful software, from study apps to tools for local businesses.

I am an AI student and developer who turns everyday problems into working software. My projects include smart study tools, automated workflows, and web apps with open code and live demos.

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About Me

I study AI at SZABIST and build software in Islamabad, Pakistan. I turn ideas into clean apps, handling both backend code and user screens.

My current work includes MY Mentore, a study app with lessons, quizzes, and project practice; a student opportunity digest; and Araknet.tech, a tool for local business research. I explain what each project does and how people can access it.

Education

SZABIST University

BSc Artificial Intelligence

2025–2029 · Islamabad, Pakistan

Selected Projects

Explore real-world apps with clear problem breakdowns, modern tech stacks, and live links to try them out.

NovaBrief Tech

Live

A daily morning digest that delivers top AI news and student programs in one place.

Problem

AI news and student programs are published across many sources, making it hard to keep up consistently.

Solution & Architecture

A Python and Flask backend collects daily news and student programs. It uses a fast AI model to write brief summaries, then emails a morning digest to subscribers.

Key Achievements

Scheduled digest and program-notification jobs run at configured times.
PostgreSQL stores the collected items and delivery records.
Email delivery supports configured Resend or SMTP credentials.

Python Flask PostgreSQL Groq API APScheduler Resend / SMTP

Live Site Source code

Araknet business search workspace with city and industry filters and lead review

Araknet.tech Business Agent

Live

Find local businesses, check their web presence, and draft outreach messages to follow up.

Problem

Finding local clients across multiple websites takes too much time. It is hard to compare leads and track who to contact next.

How it works

Choose a city and industry to search Google Places, SerpAPI, or OpenStreetMap. Review the listings, add notes and tags, and draft an editable proposal for each lead. Listing details and suggestions need human review.

What it includes

Pulls company info from three map services, with a smart backup if one is down.
Tracks lead status, notes, and tags, with CSV and JSON export.
Builds ready-to-edit email drafts from templates. You review and send every note yourself.

Next.js React TypeScript MongoDB Atlas SerpAPI Google Places API OpenStreetMap

Open app Source code

MY Mentore

Desktop app

A personal study agent that helps learners plan what to study and practice each day.

Problem

When lessons, quizzes, and projects live in separate tools, it can be hard to know what to work on next.

How it works

Learners set a goal and choose how much time they have to study. MY Mentore brings lessons, quizzes, and project work into one Windows app, with optional Gemini help for explanations and writing.

What it includes

Study plans connect goals to lessons, quizzes, and project tasks.
The mentor workspace and study hub are part of the same Windows app.
This is a desktop app. There is no public web version or code repository yet.

Electron React Vite Express SQLite Firebase Gemini API

Request a desktop demo

Windows build available on request · No public source repository yet

Browse more public work on GitHub.

Technical Expertise

Tools and methods used across the projects above.

AI & LLMs

Applying language models and retrieval patterns to focused product workflows.

Llama 3.3 Claude API Gemini Pro Groq APIs Prompt Engineering Agentic Workflows

Automation & Agents

Connecting scheduled jobs, APIs, and webhooks into maintainable workflows.

n8n Web Scraping Webhook Routing SerpAPI APScheduler Google Places API

Full Stack & Backend

Building product interfaces and HTTP services, from request handling through deployment.

Python Flask FastAPI Django Next.js REST APIs

Databases & Cloud

Persisting application data and deploying projects on managed cloud platforms.

PostgreSQL MySQL Supabase MongoDB Atlas Vercel Cloudflare

Product & Tooling

Breaking product goals into practical features, implementation steps, and reviewable releases.

Product Architecture Rapid Prototyping Technical SEO Production Deployment Git & GitHub

Certifications & Publications

Research Intern Offer Letter AI-Explain You Science (AIEYS) Issued by: Prof. Dr. Inam Ullah Khan, Founder Date: 15 October 2026 · Duration: 1 year · Ref: AIEYS-ADMIN-1001

SZABIST · IJICT ML Research: Brute-Force Login Detection Apr 2026

Harvard CS50 Intro to Programming with Python David J. Malan · Aug 2026

Google / Coursera Crash Course on Python Nov 2025

AIEYS AI Conference Participation Certificate, Germany Sep 2026

Google / Coursera Technical Support Fundamentals Nov 2025

Cisco Introduction to Modern AI Jan 2026

AIEYS Web Developer Internship Apr 2026

AIEYS AI-Enhanced Teaching Certificate Apr 2026

Research & Publications

Ongoing academic contributions and a commitment to research excellence.

1 Published Paper Active In Progress Papers 1 Research Internship

Published 30 April 2026 · Open access (CC BY 4.0)

Preview

Detection of Brute-force Login Attempts Using Machine Learning

Iraqi Journal of Information and Communication Technology (IJICT), Vol. 9, No. 1, pp. 44-56

DOI: 10.31987/ijict.9.1.371

Authors: Zaigham Abbas · Syed Ali Hussain · Basheer Ahmad · Muhammad Usman · Mushaf Ali · Fatima Zahra Ouariach · Soufiane Ouariach

Compared SVM and GNB classifiers on authentication log data, with and without PCA. SVM reached 97.24% accuracy without PCA and 96.55% with PCA. GNB improved from 87.93% to 91.03% with PCA.

Cybersecurity Dictionary Attack Authentication Security Dimensionality Reduction

Read on IJICT Download PDF DOI Google Scholar

Ongoing Research

In Progress Upcoming Paper

Swarm Intelligence Tuning of PID Position Controllers for a Dual-Axis Solar Tracker: A Statistical Comparison of Particle Swarm Optimization, the Firefly Algorithm and Cuckoo Search

Authors: Tauqeer Ahmad, Zaigham Abbas, Muhammad Zeeshan, Syed Ali Hussain

Upcoming publication with Azerbaijan University of Architecture and Construction

Ongoing academic contributions and a commitment to research excellence.

View Manuscript PDF

In Progress Upcoming Paper

Paper Title (Coming Soon)

Upcoming publication with Azerbaijan University of Architecture and Construction

Ongoing academic contributions and a commitment to research excellence.

Curriculum Vitae

Syed Ali Hussain

AI Engineer & Full Stack Developer · Islamabad, Pakistan

syedali6160@gmail.com · LinkedIn · github.com/Alihussain121472

Professional Summary

AI student and full stack developer who builds reliable web apps, Python services, and AI tools. Research Intern at AIEYS and co-author of a published ML paper. Shipped live products including NovaBrief Tech and Araknet.tech from idea to deployment.

Work Experience

Research Intern · AI-Explain You Science (AIEYS) Oct 2026 – Present

One-year research internship (offer letter from Prof. Dr. Inam Ullah Khan, Founder; Ref. AIEYS-ADMIN-1001, 15 Oct 2026).
Contribute to collaborative AI and machine learning research with academic co-authors.

AI & Full Stack Developer · Independent Projects & Product Development 2024 – Present

Islamabad, Pakistan

Build full-stack web apps and AI tools with Python (Flask, Django, FastAPI), Next.js, PostgreSQL, MongoDB, and Supabase.
Connect AI models (Llama 3.3, Gemini, Claude) to summarize text, create content, and automate tasks.
Own backend APIs, database design, scheduled jobs, and deployment, from the first idea to a live product.

Technical Skills

Languages: Python, C++, SQL, HTML, CSS

AI & LLMs: LLM Integration, Llama 3.3, Claude API, Gemini, Groq APIs, Prompt Engineering, Agentic Workflows

Automation & Agents: n8n, Webhooks, Web Scraping, SerpAPI, Google Places API

Full Stack & Backend: FastAPI, Django, Next.js, React, REST APIs, Tailwind CSS

Databases & Cloud: PostgreSQL, MySQL, Supabase, SQLite, MongoDB, Vercel, Cloudflare

Tools: Git, GitHub, Linux, Production Deployment, Technical SEO

Key Projects

NovaBrief Tech AI News & Student Program Digest novabrief.tech

Full Stack Developer

Built a Flask web app that tracks AI news and student programs. It uses Llama 3.3 on Groq to write daily summaries. Scheduled tasks send a morning email digest and save updates to PostgreSQL. Tech: Python, Flask, PostgreSQL, Groq API, APScheduler, Tailwind CSS.

Araknet.tech Local Business Research Agent araknet.tech

Full Stack Developer

Built a web app that finds local businesses by city and category using Google Places and OpenStreetMap. Added lead tracking with tags and CSV export, plus quick email drafts for client outreach. Tech: Next.js, React, TypeScript, MongoDB Atlas, SerpAPI, Google Places API.

MY Mentore Personal AI Study Agent Windows Desktop App

Developer

Built a desktop app that makes custom study plans based on a user's goals and schedule. Includes lessons, quizzes, practice tasks, and smart AI help from Gemini. Tech: Electron, React, Vite, Express, SQLite, Firebase, Gemini API.

Research & Publications

Detection of Brute-force Login Attempts Using Machine Learning Apr 2026

Co-author · Iraqi Journal of Information and Communication Technology (IJICT), Vol. 9, No. 1, pp. 44–56 · DOI: 10.31987/ijict.9.1.371

Compared SVM and Gaussian Naive Bayes classifiers on authentication log data, with and without PCA; SVM reached 97.24% accuracy.

Certifications & Courses

Introduction to Modern AI 28 Jan 2026

Cisco Networking Academy

CS50’s Introduction to Programming with Python Aug 2026

Harvard University

Crash Course on Python Nov 2025

Google / Coursera

Education

Bachelor of Science in Artificial Intelligence (BSAI) Expected 2029

SZABIST University, Islamabad

Focus Areas: Artificial Intelligence • Machine Learning • Deep Learning

Download Full CV

Get in touch.

Open to developer roles, AI automation consulting, and freelance projects.

Gmail syedali6160@gmail.com

LinkedIn linkedin.com/in/ali-hussain

GitHub github.com/Alihussain121472

Twitter / X @Syedali6160