Hello

I'm Abdullah Ali Shah

iOS Developer

  • Age 29
  • Address Apartment 2C,Block 58,Sector B,Askari 11, Lahore Pakistan
  • E-Mail abdullahalishah@icloud.com
  • Phone +92-300-9119116
  • On Vacation till January 1, 2019

Hello! I’m Abdullah Ali Shah, results-oriented software developer and research professional with 4 years experience. I make it my goal to create software with the user in mind, creating applications with a useable and intuitive user interface experience. I also understand the importance of creating highly readable and easily maintainable source code. I am constantly striving to learn new technologies and look to ways to better myself in this rapidly changing industry and enjoy all the challenges this industry offers; delivery, leadership, technology, customer satisfaction, innovation and on-going learning. Each project is different.

iOS Development Skills

Xcode and iOS Swift
Object-Oriented Programming
Git Version Control
Adaptive UI Layouts
UI Kit Framework and UI Kit Dynamics
Data Storage and Retrieval
API Methods and Baas Platforms
Firebase (Firestore), iCloud, and Cloud Kit
CocoaPods and Third-Party Libraries
App Extension Customisation
Debugging and Testing
App Performance and Profiling
Localization and Internalization
New Frameworks (Core ML, ARKit)
App Marketing and Submission

Other Tools & Languages

FrontEnd Development
MatLab
Wordpress
PHP

Portfolio

Crypto Hunter

Crypto Hunter

Platform
iOS
Category
Finance
Price
Free

Description:

A very simple and easy to use cryptocurrency tracker for casual traders or persons who are interested in crypto markets.

Features

Platform
iOS
Category
Finance
Price
Free

Features:

Charts:

You can access historical data of past 30 days in form of charts.

Worth:

Add and maintain your crypto worth.

Report:

Print or save your crypto worth, with the tap.

Security:

Do you want to add an extra layer of security? No worries, you can now fortify your app with biometric authentication.

Pi List

Pi List

Platform
iOS
Category
Productivity
Price
Free

Description:

Elegant, Flexible, and Feature Rich “To-Do” App for your daily arsenal.

Features

Platform
iOS
Category
Productivity
Price
Free

Features:

Note taking:
Either type, draw or dictate.

Time based notification:
Set timer to get notified, or set specific date.

Location based notification:
Set notification while entering or exiting region against your desired task.

Sharing:
Share your to-do tasks with your family and friends.

Widget:
Add tasks to todays list to easily access upcoming tasks.

Pi List has everything that you need, to manage your life and accomplish more.

My Services

iOS

Development


I offer customer centric iOS app development services for a seamless user experience in:

Custom iOS (iPhone/iPad) App Development.
App Update & Optimisation.
Social Media iOS App Development.
Enterprise iOS App Development.
Widget Development.
Real time E-commerce iOS Applications.
App Performance, Profiling and Testing.
Video & Audio iOS App Development.

Wordpress

Full Package


Wordpress Full Package Includes:

WordPress installed to your domain.
Install Your WordPress Theme.
Make Your Site Look Like the Demo.
Add your logo to the site.
Backup Your WordPress Site.
WordPress SEO, Security and Performance Optimisation.
Installing essential plugins like Yoast SEO, iThemes Security, UpdraftPlus WordPress Backup Plugin, W3 Total Cache Google Analytics, MailChimp for WordPress, WP Smush - Image Optimisation, Google AdSense ,AMP - Accelerated Mobile Pages, Cloudflare, Polylang - Making WordPress multilingual, Autoptimize - speeds up your website

Work Experience

Current

iOS Developer

Freelancing

Write efficient, maintainable and reusable code prioritising privacy and security.
Write technical documents, user guides and support documentation.
Adapt existing methods and procedures to create specialised solutions to intricate software problems.
Developed front-end web UI and back-end web services.

2015-2018

Co-Founder/ Lead Developer

Asad Tech House (Pvt) Ltd

Translated design team’s UX wireframes and mockups into responsive, interactive features, using HTML/CSS and JavaScript.
Worked with agile team to migrate legacy company website to AngularJS, Sass, HTML5, and Drupal.
Created HTML email templates that improved email CTR rates by ~25%.
Designed and developed GUI for applications and modules, using JavaScript.
Increased email signups 12% by creating new UI for website landing page in React.

Education

2017-2018

iOS Development

CareerFoundry

2012-2015

Master of Science in Computer Science

Comsats University Islamabad (Abbottabad Campus), Pakistan

2008-2012

Bachelor of Science in Computer Science

Comsats University Islamabad (Abbottabad Campus), Pakistan

Work Statistics

23

Happy Clients

Keep Clients Happy

40

Clients Projects

For 3 years

100

Code Rows

Per Hour

4

Apps Launched

Personal

Research Papers

  • Paper 1

    Computer-Aided Detection (CADe) System for Detection of Malignant Lung Nodules in CT Slices – a Key for Early Lung Cancer Detection

    Background: Lung cancer is the most common cancer in terms of both incidence and mortality. Where medical science is playing its role to overcome this deadly disease, new advancements’s and research areis also going on in computer science especially in the domain of image processing to support doctors and radiologists to tackle it. Developments are going on in image processing and CAD evaluation for applications that include cancer screening, diagnosis, and image- guided intervention, and treatment.

    Methods: The most efficient way to stop the cancer is to detect and diagnose it at an early stage. Most of the existing CAD systems monitor the growth of lung nodules over a period of time, which is not possible at the early stage of lung cancer. In case of lung cancer treatment in Pakistan, even if the cancer is at later stages, there are no such archives in which the history of patient is maintained. So in that case, it becomes extremely important to develop such system which detects lung cancer at its early stage without depending on the requirement of patient history. Secondly, majority of the CAD systems require training prior to use and after the training, they still cannot’t produce satisfactory results. And the last point is most of the scanners comes with built-in software and most of the scanners do notesn’t support third party software’s.

    Results: In this study, a CAD system is proposed for the detection of malignant nodules through traditional image processing techniques fused with the techniques used by radiologists. The system goes through three main phases; pre-processing, segmentation and 3D reconstruction. In the first phase, pre-processing techniques weare used to remove unwanted information and enhance the image for further processing. During the second phase, the nodule wais detected and localized and in the last phase, 3D reconstruction of the nodule is performed for better visualization that supports the radiologist and the surgeon/doctor. At By the end of the study, we have discussed the performance of our CAD system on LIDC dataset.

    Discussion: This dataset consists of 1018 cases from which we randomly selected 340 cases and compared the results of our methodology using four different scenarios against studies which have used Artificial Neural Networks (ANN) and Support Vector Machine (SVM).

    Conclusion: The methodology used in this study, clearly outperforms in two out of the four scenarios when compared to ANN and SVM.

    Link

  • My Interests

    I do tend to lose myself in whatever job I’m doing or hobby I’m into.
    Sam Heughan

    • Video Games
    • Coffee
    • Movies
    • Camping
    • Trying Different Cuisines
    • Tinkering
    • Walking

    Availability Calendar

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