Ramiz Raja
Mobile Lead For AI Integration
Lahore, Punjab, Pakistan
Summary
👤
Senior🎓
Top SchoolRamiz Raja is a mobile engineering lead with over a decade of experience delivering production-grade apps across Android, iOS, React Native, and Flutter, and currently focuses on integrating cutting‑edge AI into mobile products. A Google Certified Associate Android Developer, he has driven large-scale Android projects used by millions and multi-tenant B2B apps adopted by 10+ businesses, while also shipping end-to-end iOS apps from Figma to App Store. He architects scalable MVVM and clean‑architecture codebases, builds reusable SDKs and design systems, and mentors teams to raise code quality and velocity. Ramiz pairs deep native expertise (Kotlin/Java, Swift) with cross-platform fluency (Riverpod, GetX, GoRouter, Dio, React Native) and hands-on Firebase/ML integrations to deliver stable, performance-focused experiences. Outside mobile UI work he’s implemented applied computer vision in an OpenCV face-recognition project, reflecting a practical interest in ML and systems-level optimization. Based in Lahore, Pakistan, he’s known for ownership, pragmatic engineering trade-offs, and rapidly stabilizing legacy codebases.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of the PunjabNanodegree, Android with Kotlin Nanodegree, Nanodegree, Android with Kotlin Nanodegree at Udacity
English, Urdu, Punjabi
Stackoverflow
300reputation
28kreached
8answers
14questions
Github Skills (19)
notebook10
opencv10
python10
image-processing10
ipython10
face-recognition10
computer-vision10
jupyter-notebook10
machine-learning9
drawer-layout6
android6
android-fragments6
otto6
java6
algorithm6
Programming languages (5)
Github contributions (5)
informramiz/opencv-face-recognition-python
Jul 2017 - Oct 2017
Face Recognition using OpenCV and Python.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:52 commits, 1 PR, 24 pushes in 3 months
Contributions summary:Ramiz primarily focused on developing and implementing the face recognition features using OpenCV and Python. They added training images and code, including the `detect_face` function, the `prepare_training_data` function, and the training and prediction functionalities. They also created an IPython notebook for code and tutorial.
face-recognitionpython
informramiz/AndroidFilePickerLibrary
Apr 2018 - Mar 2019
Contributions:66 commits, 13 pushes, 1 branch in 11 months
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