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Abdul Kasim

@abdulkasim

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Software engineer intern building AI applications, including a fake news detector with 85% classification accuracy.

India

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At Alfido Tech, I worked on machine learning training and evaluation, using Python, Pandas, NumPy, and Scikit-learn for data analysis and predictive models. I also developed and tested AI-based solutions for practical use cases.

I built an AI-powered fake news detection platform that achieved 85% classification accuracy and served predictions through Flask REST APIs. My projects also include a conversational AI platform with streaming responses and a computer vision system for real-time object detection.

Experience

Work history, roles, and key accomplishments

Web Developer Intern

Codec Technologies

May 2026 - Jun 2026 (1 month)

Developed responsive and user-friendly web applications using HTML5, CSS3, JavaScript, React.js, and Bootstrap, ensuring cross-browser compatibility and mobile responsiveness. Built reusable UI components and integrated RESTful APIs to enable dynamic content and seamless user interactions.

HTML5 CSS JavaScript React Bootstrap REST APIs Git GitHub

Artificial Intelligence Intern

Alfido Tech

Mar 2026 - Apr 2026 (1 month)

Worked on machine learning model training and evaluation tasks involving data preprocessing, model development, and performance analysis. Applied Python, Pandas, NumPy, and Scikit-learn to perform exploratory data analysis and develop predictive models.

Python Pandas NumPy scikit learn Machine Learning data preprocessing Model Development Performance Analysis

Software Engineering Job Simulation

JPMorgan Chase & Co. (Forage)

Jan 2026 - Feb 2026 (1 month)

Completed a virtual job simulation covering REST API integration, Kafka event streaming, and backend service implementation. Practiced debugging and testing methodologies within a simulated enterprise workflow.

REST APIs Kafka Backend Development Debugging Testing

Education

Degrees, certifications, and relevant coursework

OP Jindal University

Bachelor of Technology, Computer Science and Engineering

2024 -

Grade: 8.0/10.0

Pursuing a Bachelor of Technology in Computer Science and Engineering with a GPA of 8.0/10.0. Coursework includes Data Structures & Algorithms, Machine Learning, and Web Technologies.