Seeking a summer 2027 internship

MohammedAlNabulsi

Computer Science student at Concordia University in Montreal, graduating December 2027. I train machine learning models and build full-stack web and mobile apps. Seeking a summer 2027 internship starting May 2027.

Download CV Email GitHub LinkedIn

Model accuracy: 95% on test setCustom ASL alphabet model, MyLingo
Hack 2026: 1st placeCybersecurity CTF, Montreal
Experience: App Development InternProgressSoft, May to Aug 2025

Selected work

3 projects

MyLingo

2026 · Live

Real-time sign language recognition in the browser, converting signs to text and speech.

test accuracy: 95%
training images: 87,000+
hand and face tracking: 60fps

Problem: Deaf and hard-of-hearing users need a way to be understood by people who don't know sign language.
What I built: Trained a custom ASL alphabet model in Python and TensorFlow, then deployed it for in-browser inference with TensorFlow.js. MediaPipe Holistic handles tracking, feeding a three-tier classifier (pretrained, custom and trained ASL models). Includes a custom gesture creator, a canvas skeleton overlay and text-to-speech through the Web Speech API.
Stack: React
Vite
TensorFlow.js
MediaPipe
Python

Live demo of MyLingo (opens in a new tab) Source on GitHub for MyLingo (opens in a new tab)

Youni

2026 · In development

A campus social network app for students, currently in development.

Problem: Course discussions, student networking, buying and selling, and messaging usually live in separate places.
What I built: A React Native app that brings these into one place. Implemented authentication, real-time friend requests and live private messaging with Firestore listeners and transactions. Designed the Firestore security rules and a typed service, navigation and screen architecture in TypeScript.
Stack: React Native
Expo
TypeScript
Firebase

Source on GitHub for Youni (opens in a new tab)

Saferni

2026 · Co-building

A travel booking app with natural-language trip planning powered by an LLM.

Problem: Planning a trip means searching flights, hotels and payments separately. Saferni lets travellers describe the trip in plain language instead.
What I built: Co-building the product. Worked on the LLM trip-planning flow and prompt design, and designed a multi-API architecture: flights via the Duffel API, a separate hotel API, and a Stripe payment layer with a service-fee model. Defined the backend REST API and its core endpoints for search, booking, trip retrieval and cancellation.
Stack: LLM
Duffel API
Stripe
REST APIs

safferni.site (opens in a new tab)

Background

May to Aug 2025Internship

App Development Intern, ProgressSoft

Amman, Jordan

Built and maintained mobile app features in Flutter and Dart for banking and financial clients, as part of a five-person application development team. Worked with senior developers on feature implementation and debugging in an established production codebase.
2026Achievement

1st place, Hack 2026

Cybersecurity CTF-style hackathon, Montreal, QC

Won first place with a four-person team, solving a series of cybersecurity challenges and exploiting vulnerabilities over a continuous 24-hour event.
2024 to Dec 2027Education

Bachelor of Computer Science, Concordia University

Montreal, QC · Expected graduation December 2027

Relevant coursework: Data Analysis, Data Structures, Object-Oriented Programming, Computer Graphics, Artificial Intelligence.

Skills

Languages: Python, Java, JavaScript, TypeScript, Dart, C/C++, SQL
AI / ML: LLM integration, prompt engineering, TensorFlow, TensorFlow.js, model training and fine-tuning, computer vision (MediaPipe)
Frameworks: React, React Native (Expo), Flutter, Vite, Node.js
Backend & data: Firebase / Firestore, SQL, REST API design and integration, Git

Contact

I'm looking for a summer 2027 internship in software engineering or AI/ML, starting May 2027. Email is the best way to reach me.

mohammed.alnabulsi06@gmail.com

Download CV GitHub LinkedIn