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Schedule Interview NowMy name is Syed Ali H. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: React, HTML, CSS, JavaScript, TypeScript, etc.. I hold a degree in Bachelor's degree, Bachelor's degree. Some of the notable projects I’ve worked on include: Insight Web Portal - ReactJS, Typescript, Spring Boot, Java, jHipster, Multi Viewer - ReactJS, Javascript, Python & Docker, Am Eye Drunk - Flutter Mobile App - Flutter, Python, Firebase, Google, Insight Desktop Application - Python, PyQt, Javascript, MySQL, Data Processing Desktop Application - Python, PyQt. I am based in Karachi, Pakistan. I've successfully completed 5 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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3 years
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This is a web application called Insight Portal, which I designed for a US based company. This application was designed to be an asset management tool for infrastructure owners (bridge owners in particular). It is a highly data intensive, highly responsive, feature rich, technically complex and diverse web application. The best way to understand the immense scope of this application would be to inspect the gallery, which will provide an insight into the vast range of features, which includes: - Interactive Data Visualization & Summary Dashboards - Interactive Viewers (360 Degree Virtual Tours, High Res Tiled Image Viewer, Satellite Viewer, 3D Model Viewer, etc.) - Interactive Forms - PDF Generator & Previewer - Backend Processing Engines The tech stack used is as follows: FRONTEND - ReactJS - Typescript - Javascript - HTML/HTML5 - CSS/CSS3 - SCSS BACKEND - Spring Boot - Java - MySQL - Microsoft Azure (API, Database, Storage, App Service, etc.) - Python - C# Please do not hesitate to reach out if you wish to discuss further or wish to inquire about my services. Thank you!
I created this great front end multi viewer using React JS with a backend Python API integrated using Docker for deployment. This custom viewer has several types of internal viewers, including the following: 1. 2D Image Viewer - Individual 2D images that cover a 360 degree view, with several types of AI generated overlays, custom interaction and annotation features, complex real life measurement capabilities, etc. 2. Map Viewer - A 2D map similar to Google Maps, with custom overlays, navigational features, etc. 3. Aerial Image Viewer - A 2D tiled image responsive viewer for an aerial view of any location, with custom overlays and navigation features. 4. Point Cloud Viewer - A highly complex custom Point Cloud renderer, with navigational, measurement features and many more 5. 360 Panoramic Viewer - A custom virtual tour viewer similar to Google Street View, with custom overlays, navigational features, annotation features, etc. The entire complex and highly responsive front end tool providing all of the above viewers was developed entirely using ReactJS and Javascript
Am Eye Drunk is a cutting-edge mobile app designed to help users determine if they are intoxicated, based on a scan of their eyes. The app uses advanced facial recognition and eye detection technology, capturing a close-up of your eyes and performing real-time image analysis to assess potential signs of inebriation.
This is a desktop application called Insight Onboard, which I designed for a US based company. This application was designed and developed to operate an entire autonomous robotic system from start to end. It is a highly data intensive, highly responsive, feature rich, technically complex and diverse desktop application. The best way to understand the immense scope of this application would be to inspect the gallery, which will provide an insight into the vast range of features, which includes: - Interactive Data Visualization, both Realtime and Processed Data - Robotic Arm integration using controllers - Data Acquisition implementation and integration with several hardware sensors like Lidar, Radars, High Res Cameras, encoders, etc. The tech stack used is as follows: - Python - PyQt - Windows/Linux - Microsoft Azure - MySQL - Javascript - HTML/HTML5 - CSS/CSS3 - C# - C++ - Google Maps Please do not hesitate to reach out if you wish to discuss further or wish to inquire about my services. Thank you!
This project was a customized data processing desktop application solution that analyzed images of bridges with cracks annotated, dxf files with the same cracks and an excel formatted file with details related to the cracks marked. It took all of this info as an input and generated visually appealing block maps, contour maps, CSV formatted files, logs, etc. through the use of an attractive UI based application.
Bachelor's degree in Computer science
2013-01-01-2017-01-01
Bachelor's degree in Mechanical engineering
2013-01-01-2017-01-01