Hello, I'm Mian. A CS major @ DePauw & aspiring Software Engineer.

About Me

Mian Abdullah

Hey, thanks for stopping by my portfolio!

I'm Mian Abdullah, a junior at DePauw University pursuing a Bachelor's in Computer Science & Philosophy.

I'm a first-generation learner originally from Lahore, Pakistan. Over the years, I've completed 3+ internships in full-stack engineering and AI/ML, taught 300+ students coding and robotics, built 30+ projects ranging from GPT-powered chatbots and advanced ML models to full-stack web and mobile apps, and even founded an AI startup. On campus, I've held leadership roles in 6+ clubs and organizations.

Outside the tech world, you'll often find me on the soccer field, at a table tennis match, or engaging in spirited debate—especially on topics that bridge computer science, logic, and finance.

I believe in creating spaces where collaboration, curiosity, and innovation thrive. Would love to connect, exchange ideas, and explore potential collaborations.

Experience

iD Tech logo

Software Development Engineering Instructor

iD Tech - Texas, USA

May 2025 - Present

Legislative Intelligence logo

Full Stack Engineer Intern

Legislative Intelligence - Noblesville, IN, USA

Feb 2025 - May 2025

DePauw University logo

SDE Teacher & Lab Assistant

DePauw University - Greencastle, IN, USA

Aug 2024 - Present

Tenzer Technology Center logo

Apprentice

Tenzer Technology Center - Greencastle, IN, USA

Aug 2023 - Aug 2024

Mubtada logo

President, Co-Founder

Mubtada - Pakistan

Jun 2022 - May 2024

Websitech Community Prvt. Limited logo

SDE Intern

Websitech Community Prvt. Limited - Remote

May 2022 - Aug 2022

My Projects

GTG App

Cross-platform iOS/Android app using Expo and React Native, serving 2,000+ campus users with Firebase authentication and real-time data sync achieving ~150ms response time.

View Project

Portfolio Optimizer

Full-stack Markowitz-based stock/ETF recommendation system with interactive Plotly UI, achieving 15% lower volatility and 95% reduction in API calls through smart caching.

View Project

Distributed Anomaly Detection

ML-powered cybersecurity system for IoT networks using novel charge-assignment algorithms, reducing false positive rates by 26% and improving detection accuracy by 40%.

View Project

Face Recognition ML

Real-time face recognition system using Siamese Neural Networks with one-shot learning capability, trained on 176K+ images with 38.9M parameter architecture.

View Project

Contact Me

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