Muhammad M.

Muhammad M.

Team Lead

Peshawar , Pakistan

Experience: 5 Years

Muhammad

Peshawar , Pakistan

Team Lead

38400 USD / Year

  • Immediate: Available

5 Years

Now you can Instantly Chat with Muhammad!

About Me

Computer Engineer and Scientist with 5 years of software development experience on multiple products and platforms. I have sound technical knowledge of artificial intelligence, machine learning algorithms, deep learning algorithms, model analysis and...

Show More

Portfolio Projects

Description

Uae Wheels is a smartphone application developed in React Native for both iOS and Android that provides selling, buying and renting of Cars, Bikes, Boats & their Parts in UAE.

Technologies Used:
- React Native
- Redux and Sagas
- REST API

Show More Show Less

Description

Irotax is a ride sharing mobile application much like UBER and Careem, developed React Native for both iOS and Android, it includes 4 mobile applications a pair of user and driver for android, and a pair for iOS.

Technologies Used:

- React Native for mobile applications, Redux for state management, Redux Sagas, Google Maps,
Google Places
- Firebase for backend: Cloud Functions, Firebase Cloud Messaging(FCM and APNS), Real-Time
Database, Firebase Storage, Phone Number Authentication, Cron Jobs
- GeoFire for realtime Geo Queries
- Background GPS location handling

Show More Show Less

Description

Pharmapedia Pakistan, an Android and iOS application, gives you free, offline access to information on generic drugs (dosages, indications, more), medicine brands in Pakistan. Pharmapedia Pakistan has been downloaded by 0.2 Million plus users, with an astonishing 92% returning users, and is currently ranked 1st in the medical category in Pakistan and have been to the top charts of many other countries too.

Show More Show Less

Description

A 2-D and 3-D UNET to segment multiple tumor types in MRI scans

Show More Show Less

Description

1. Fully Connected feed forward Neural Network to learn the spectral features of different crops. 2. Temporal Convolutional Neural Network to learn the spectral and temporal features of several crops. 3. A Fusion network to learn the spectro-spatio-temporal features of vegetation (in progress)

Show More Show Less

Description

Mulitclass Image classification on CiFar10. Pretrained Resnet was transfered learned to classify 10 different objects. The algo was deployed as a web app using Flask framework

Show More Show Less

Description

Binary Image classification using the famous Cats vs Dogs dataset from Kaggle. Pretrained Resnet was transfered learned to classify cats and dogs. The algo was dockerized and deployed as a web app using Flask framework

Show More Show Less

Description

Multiclass object classification and digit recogniser on MNIST dataset using Deep neural networks and Convolutional neural networks in Keras.

Show More Show Less

Description

A Convolutional Neural Network based on YOLO V2

Show More Show Less

Description

Developed different sophisticated crawlers and scrappers to build datasets and databases for projects

Show More Show Less

Description

A US Embassy funded KIOSK based official tablet application project for Peshawar Museum.

Show More Show Less

Description

UAEWheels is an android and iOS application developed in React Native that provides selling, buying and renting of Cars, Bikes, Boats and their Parts in UAE.

Show More Show Less

Description

TrackReps is an Android and iOS app that tracks and monitors the performance of your elected lawmaker/representative, ensuring transparency and accountability. Meant for good governance, a funded project. Came into existence after winning the pitching and funding competition of Making All Voices Count (Ushahidi) at Digital Youth Summit 2015.

Show More Show Less