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Schedule Interview NowMy name is Ali A. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Algorithms, Machine Learning, Deep Learning, Computer Vision, AI Model Development, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: FLOWBIT® Website For Consulting Services, FLOWBIT® Webstore with Payment Gateway and Analytics Integration, Computer Aided Detection With CNN Model Using X-Ray Dataset, SofiaQ Medical Diagnostic Testing App, FLOWBIT® Project Management Android App. I am based in Chicago, United States. I've successfully completed 5 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
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Designed and developed a website for FLOWBIT® consulting services showcasing company services for Digital Health App Development. Website was developed using Javascript, HTML, and CSS, and deployed on AWS. The project also includes interactive algorithm generated art pieces on landing pages.
Designed and Developed a webstore for FLOWBIT® LLC enabling online software sales. Webstore was integrated with Payments Gateway API to enable credit card processing. The webstore allows users to register and sign-in. The webstore utilizes Multi-factor Authentication. Webstore has developed using Angular, Typescript, and supported with .NET Core based cloud API.
CNN built for detecting COVID19 using X-rays. CNN model was able to achieve high accuracy and provide explanations using Grad-CAM.
Led a team of 5 other developers. Responsible for technical architecture, design, and development. Key areas of contributions included the user interface, artificial intelligence, algorithms, bluetooth communication, and cloud infrastructure.
This is Android App was created by me from the ground up back in 2013. The project took 6 months to complete, the look and feel of the app was highly customizable, incorporated material design framework, provided full offline capability, and synchronized with cloud and other devices. The native mobile app was built using Java and Android SDK. The cloud back-end API was built using JEE and deployed on AWS.
Bachelor of Science (BS) in
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