Isra Mansoor

Academic

Career

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Isra Mansoor
Cell: 923235050952 |  Email: isramansoor9@gmail.com
LinkedIn: https://www.linkedin.com/in/isra-mansoor-20233a304/
Address: HOUSE # 5 STREET # 10 SECTOR G-13/3 , Islamabad , Pakistan
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

AI enrichment