Isra Mansoor

PROFESSIONAL PROFILE Machine Learning and AI Engineer with a strong data-driven mindset and hands-on experience across Deep Learning, 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 machine Learning 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 , 3.54 (2026) INTERNSHIP EXPERIENCE Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) 01-Jun-2025 - 01-Sep-2025 Contributed to a DAAD-funded project on advancing vocational education with Generative AI by developing adaptive learning platforms, automated assessments, and multilingual content generation. Enhanced personalization through learner history tracking and graph-based prerequisite mapping, while collaborating with NAVTTC and TEVTA to integrate scalable AI solutions into vocational institutions. Victreat Health Tech 24-Jul-2025 - 24-Oct-2025 Collected and structured data from medical conferences, covering attendees, sessions, posters, and video content. Built automated extraction pipelines with Scrapy, Playwright, and Camoufox to process large-scale unstructured web data. Cleaned, transformed, and organized datasets for analytics and research applications. Machine Vision & Intelligent Systems Lab (MACHVIS) 01-Jun-2024 - 01-Sep-2024 Built computer vision models for leaf disease classification, segmentation, and multi-class image recognition, using a self-compiled and curated dataset. Worked on automatic image captioning using advanced deep learning 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

Machine Learning and AI Engineer with a strong data-driven mindset and hands-on experience across Deep Learning, 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 machine Learning 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.