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Asad M. Data Science, Web and API Development

My name is Asad M. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: Data Science, Python, Flask, SQL, Database, etc.. I hold a degree in Master's degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: QuizBot, LLM Prompt Pedia, Developers Social Media, Portfolio Website, OLX Ad-Verification System, etc.. I am based in Lahore, Pakistan. I've successfully completed 14 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • Data Science, Web and API Development

    8 years

  • Data Science

    6 Years

  • Python

    6 Years

  • Flask

    6 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

QuizBot

QuizBot is an interactive platform that allows users to explore and share quizzes powered by ChatGPT. Users can dive into personalized tests on topics of their choosing, get questions marked in real-time, and if puzzled by an answer, chat directly with the AI to understand why. It serves as an interactive learning hub where curiosity meets clarity.

LLM Prompt Pedia

NextJS based web application to discover and share AI prompts for various LLMs like ChatGPT and LLAMA. This platform aims to help users navigate the LLM experience by offering a space to share and explore working prompts. Features: • Prompt Exploration: Browse through a variety of prompts shared by the community. • Search Functionality: Search for prompts based on tags or usernames. • User Authentication: Secure sign-in functionality using Google authentication. • User Profiles: Personalized profile pages showcasing user-contributed prompts. • Prompt Creation & Editing: Users can create new prompts and edit their existing ones.

Developers Social Media

The Developers Social Media platform is a comprehensive web application built using the MERN stack, tailored specifically for developers. Users can create and delete profiles, add or remove education and work experience, and post or delete comments, etc. The platform facilitates interactions through liking and unliking posts and showcases each developer's top 5 GitHub repositories. It is a vibrant community hub where developers can interact, share insights, and showcase their achievements.

Portfolio Website

This project contains a dynamic and responsive portfolio website designed to showcase professional and academic accomplishments. It leverages ReactJS to create a single-page application that presents various sections such as About, Projects, Skills, Education, Experience, and Publications. The website's content is dynamically loaded from JSON files, allowing for easy customization and updates. Additionally, it is integrated with GitHub Actions for continuous deployment to Firebase, ensuring that the latest version is always available online

OLX Ad-Verification System

This project entailed developing an innovative solution to enhance the integrity of OLX (an online marketplace) listings. Utilizing natural language processing, the system identifies and clusters duplicate ads by analyzing descriptions for term frequency and relevance (TF-IDF). It employs Affinity Propagation, an unsupervised clustering algorithm, to detect and group similar ads, flagging potential reposts based on a defined similarity threshold. For visual verification, I implemented a robust watermark detection system using a custom-trained YOLO object detection model. The system accurately localizes watermarks in images, subsequently analyzing them with a pre-trained VGG-19 model to extract distinctive features. A Linear SVM classifier then accurately identifies the watermarks of competitors, achieving an exceptional 99% accuracy rate. Features: • Duplicate Detection: Clusters similar ads using NLP and TF-IDF scoring. • Unsupervised Learning: Utilizes Affinity Propagation for intelligent clustering without predefined categories. • Watermark Identification: Employs YOLO and VGG-19 models for precise watermark detection and classification.

Education

  • University of Iowa

    Master's degree in Computer science

    2018-01-01-2021-01-01

  • National University of Computer and Emerging Sciences (FAST)

    Bachelor of Computer Science (BCompSc) in Computer science

    2014-01-01-2018-01-01

Languages

  • English

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