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Schedule Interview NowMy name is AbdulRauf S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Web Application, Web Development, Python, Image Processing, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Associate of Science (AS). Some of the notable projects I’ve worked on include: EduAssist Chatbot for WhatsApp, Text to Vid Generation, DeepKeys, Drosophila Analyzer, LangEase, etc.. I am based in Karachi, Pakistan. I've successfully completed 9 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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Techlogix
EduAssist Chatbot is a Python-based chatbot designed to assist students and educators by providing information and support through WhatsApp. The chatbot integrates with DialogFlow for natural language processing, enabling it to understand and respond to user queries intelligently. This project demonstrates experience with chatbot development, API integration, and natural language processing.
This project focuses on transforming natural language text into AI-generated videos by leveraging deep learning and generative AI techniques. It enables developers and creators to input a textual prompt (e.g., "a robot walking through a futuristic city") and get a corresponding animated video generated automatically. The repository acts as a self-hostable version of a text-to-video generator that interfaces with an API (likely provided by Vadoo or similar services).
I developed DeepSeek Shortcuts, a lightweight and efficient browser extension designed to enhance user interaction with the DeepSeek AI platform. The extension introduced intuitive keyboard shortcuts to streamline navigation and improve overall user productivity. I carefully configured browser permissions to enable secure interactions with the active tab, including dynamic script injection for responsive UI control. The extension was optimized for performance and cross-browser compatibility, and successfully published on the Chrome, Mozilla, and Microsoft Edge web stores.
MakhiMeter is a cutting-edge AI-driven computer vision tool designed to advance genomic research by enabling precise cell segmentation in fruit fly images. This U-Net-based deep learning model automates the segmentation of different cell types, providing researchers with highly accurate, consistent, and scalable results. The tool is currently utilized by research labs worldwide, aiding in critical studies that enhance our understanding of genetics and disease modeling.
LegalEase is an AI-powered tool designed to simplify the process of understanding complex legal documents. By using advanced natural language processing techniques, this tool automatically extracts and summarizes key information from legal texts such as contracts and legal opinions. Users can upload documents in PDF or DOCX formats and receive concise summaries that highlight the most important clauses and terms. The goal of LegalEase is to save time and reduce the complexity of legal document review, making it accessible for both legal professionals and individuals without a legal background.
Bachelor of Computer Science (BCompSc) in
2021-01-01-2025-01-01
Associate of Science (AS) in
2019-01-01-2020-01-01