Muhammad Abdullah
NUST
· 2026
Email
abdullahmalhi361@gmail.com
Phone
923316699160
GitHub
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Academic
Program
BSCS
CGPA
3.43
Year
2026
Education
SEECS
Address
STREET#3 SAMANABAD TEHSIL SANGLAHILL DISTRICTNANKANA SAHIB , Sanglahill , Pakistan
DOB
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Career
Current role
Machine Learning and AI Engineer
Target role
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Skills
Machine Learning, Data Science, Generative AI, RAG, Multi-LLM frameworks, NLP, Computer Vision, Full-stack AI development, Deep Learning, Image Recognition, Image Captioning, Recommendation Intelligence, LLMs
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Muhammad Abdullah Cell: 923316699160 | Email: abdullahmalhi361@gmail.com LinkedIn: https://www.linkedin.com/in/muhammad-abdullah-9019b5290/ Address: STREET#3 SAMANABAD TEHSIL SANGLAHILL DISTRICTNANKANA SAHIB , Sanglahill , Pakistan PROFESSIONAL PROFILE Machine Learning and AI Engineer with a strong data-driven mindset and hands-on experience across Machine Learning, Data Science and Generative AI. Skilled in building end-to-end intelligent systems, including data pipelines, predictive models, deep learning architectures and LLM-based applications using RAG and multi-LLM frameworks. Currently contributing to a DAAD-funded Generative AI project at DFKI, Germany, delivering scalable, real-world AI solutions for personalized education. Experienced in applying ML and analytics across education, healthcare, and security domains, with a strong foundation in NLP, computer vision, and full-stack AI development. Passionate about transforming complex data and advanced AI research into practical, production-ready systems with measurable impact. EDUCATION Bachelor of Science in Computer Science SEECS , Islamabad , 3.43 (2026) INTERNSHIP EXPERIENCE Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) 01-Jun-2025 - 01-Sep-2025 Advancing a DAAD-funded initiative focused on improving vocational education through Generative AI.- Enhancing and maintaining a personalized learning platform tailored to diverse learner profiles. Designing automated assessments and implementing user history tracking to generate adaptive learning content.- Collaborating with NAVTTC and TEVTA (Pakistan) to deploy AI-driven solutions within vocational training institutes. Machine Vision & Intelligent Systems Lab (MACHVIS), NUST SEECS 01-Jun-2024 - 01-Sep-2024 Developed deep learning models for leaf disease classification, segmentation, and multi-class image recognition. Worked on an NLP project for automatic image captioning, applying deep learning techniques and advanced model architectures. FINAL YEAR PROJECT Multilingual Personalized Vocational Training Using Recommendation Intelligence for Youth Empowerment This project presents an AI-driven vocational training platform designed to address the lack of personalization, digitization, and multilingual support in Pakistan’s vocational education system. The system builds detailed learner profiles capturing skill levels, preferences, and learning behavior to generate adaptive learning pathways that dynamically adjust content difficulty, depth, and delivery mode in real time. Using a shared bilingual dataset enriched through German-to-Urdu and English translation, the platform provides localized, culturally relevant training content. Large Language Models (LLMs) and Natural Language Processing (NLP) are leveraged to automate the generation of quizzes, tutorials, and microlearning modules aligned with Bloom’s Taxonomy, enabling continuous assessment and personalized feedback. The system integrates intelligent recommendation algorithms and retrieval- augmented generation to optimize content sequencing and pacing, ensuring prerequisite-aware learning. Initially focused on the Auto Electrician trade and aligned with TEVTA and NAVTTC curricula, the platform is scalable to other vocational domains. Effectiveness is evaluated through learner engagement, knowledge retention, recommendation relevance, and measurable skill improvement, contributing to inclusive, industry-aligned vocational education. TECHNICAL EXPERTISE Artificial Intelligence & Machine Learning
AI enrichment
Muhammad Abdullah is a Computer Science undergraduate with a 3.43 CGPA, currently interning at DFKI in Germany on a DAAD-funded Generative AI project. He has hands-on experience in machine learning, NLP, and computer vision through academic labs and a final year project focused on personalized vocational training.
Skills (AI)
["Machine Learning", "Generative AI", "LLMs", "RAG", "NLP", "Computer Vision", "Deep Learning", "Python", "Data Pipelines", "Recommendation Systems"]
Status: ai_done