Abdullah Rabi
@abdullahrabi
Entry-level AI engineer focused on applied and generative AI solutions.
What I'm looking for
I am an entry-level AI engineer and recent Computer Science graduate specializing in Applied AI and Generative AI, with hands-on experience building and deploying ML systems and RAG-based applications.
I have engineered end-to-end projects including an adaptive generative AI learning platform and production-ready ML models, emphasizing code quality, system reliability, and user impact. My Study Buddy app served 500+ concurrent users with 99.8% uptime and processed 10,000+ documents.
I work primarily in Python and deep learning frameworks, and I seek roles where I can contribute to real-world implementations, iterate on models in production, and grow through technical feedback.
Experience
Work history, roles, and key accomplishments
Machine Learning Project Lead
Academic Projects
Developed a CNN-based cat vs dog image classifier achieving 94.48% test accuracy through augmentation and hyperparameter tuning, and built a heart disease prediction model with 86.9% accuracy using Logistic Regression, Random Forest, and KNN.
Entry-Level AI Engineer
Self Employed
Engineered and deployed an end-to-end Generative AI learning platform with a dynamic quiz engine and RAG-powered chatbot serving 500+ concurrent users and processing 10,000+ documents, improving user engagement by 40%.
Education
Degrees, certifications, and relevant coursework
CyberPulse Institute
Certificate, Artificial Intelligence
2025 - 2025
Completed the Huawei Certified AI Engineer (HCCDA-AI) credential program focused on applied AI techniques and tools.
National College of Business Administration & Economics
Bachelor of Science, Computer Science
2020 - 2025
Completed a Bachelor of Science in Computer Science with coursework and projects focused on applied machine learning, deep learning, and generative AI.
Availability
Location
Authorized to work in
Job categories
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