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Kashaf User

@kashafuser

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Full-stack developer and data-driven builder, turning real-world datasets into scalable, impactful software.

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What I'm looking for

I’m looking for a role where I can build scalable full-stack products and data-driven features in a cloud-first environment. I want hands-on work with predictive analytics/ML and opportunities to ship impactful solutions.

I’m a Recent Computer Science graduate from Qatar University with strong experience in full-stack development, cloud-based systems, and data-driven applications. I focus on designing and implementing scalable solutions that create measurable impact.

In NPC Qatar Datathon 2025, I ranked Top 5 by analyzing large-scale national datasets and building predictive models to evaluate quality-of-life indicators across municipalities. I benchmarked Qatar’s data against global city datasets and presented findings to both technical and non-technical stakeholders.

I also led SkillUp—a mobile learning platform—by developing a full-stack product with real-time course management and user engagement. Using Flutter, Firebase, Azure, REST APIs, and OpenAI API features, I implemented authentication, progress tracking, messaging, instructor dashboards, analytics for user behavior, and AI-based content moderation and personalized recommendations.

I enjoy tackling complex problems with machine learning and practical engineering. At Shell AI Hackathon 2025, I developed energy-optimization models using regression, Random Forest, SVM, and neural networks (~82% accuracy), and I’m currently building a multilingual legal support platform for migrant workers in Al-FIKRAH National Competition 2026.

Experience

Work history, roles, and key accomplishments

Current

Migrant Workers Legal Platform

Current

Al-FIKRAH

Developing a multilingual platform to improve access to legal resources for migrant workers, including workflows for complaints, salary calculation, and legal guidance. Integrating translation features to enhance accessibility.

Workflow Design REST APIs UI UX Design Accessibility

Facial Recognition Attendance

Facial Recognition System

Designed an automated attendance system using facial recognition with a GUI for real-time identity verification. Implemented Python and SQL components to improve the efficiency and accuracy of attendance tracking.

Python SQL Tkinter Facial Recognition Verification Data Modeling

Shell AI Hackathon Project

Shell AI Hackathon

Developed machine learning models for sustainable energy optimization scenarios using regression, Random Forest, SVM, and neural networks. Improved performance through feature engineering and tuning, achieving ~82% accuracy while collaborating with a team using Git.

Machine Learning regression Random Forest SVM Neural Networks & Model Tuning Git

E-Commerce Full-Stack App

E-Commerce Web Platform

Built a full-stack e-commerce system supporting buyer-seller workflows with secure authentication and database-backed transactions. Developed sales and user activity dashboards to support monitoring and performance tracking.

React JavaScript SQL Prisma HTML CSS REST APIs Dashboards

NPC Qatar Datathon Project

NPC Qatar Datathon

Analyzed large-scale national datasets to identify trends in urban development and infrastructure and built predictive models to assess quality-of-life indicators across municipalities. Earned Top 5 finalist placement and presented findings to technical and non-technical stakeholders.

Data Analysis predictive modeling ETL regression Random Forest SVM

SkillUp Mobile Platform

SkillUp

Led development of a Flutter-based full-stack mobile learning platform with real-time course management and user engagement features. Implemented authentication, progress tracking, messaging, instructor dashboards, analytics, and AI-based content moderation and personalized recommendations.

Flutter Firebase Azure REST APIs Authentication Analytics OpenAI API NoSQL