About Me
👋 Hello! I'm Mudassir Fayaz — an aspiring PhD candidate in Computer Science with a profound passion for Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). My academic and professional journey blends innovative research, hands-on project leadership, and a deep-rooted enthusiasm for solving complex problems at the intersection of technology and human cognition.
🏅 HEC High Achiever 2024 | 🏅 Prime Minister Award for Professional Excellence | 🎖️ Recipient of Souvenir from Army Chief | 🥇 3x International Hackathons Winner & 25x Participant | Section Leader Mentor @ Stanford Code in Place
Download CVCurrent Roles
Balancing academia, industry, and research to drive innovation
Jr. Lecturer at KKKUK
Teaching Computer Networks, Software Engineering, and Programming Fundamentals at Khushal Khan Khattak University Karak. Dedicated to fostering academic excellence and cultivating technical expertise among students.
AI Engineer at AsasTech
Contributing to cutting-edge research on Large Language Models (LLMs) Fine-tuning and RAG, addressing challenges in sparse matrix operations, memory efficiency, and domain-specific modification of LLMs in Saudi Arabia.
Section Leader Mentor
Stanford Code in Place program mentor, teaching Python fundamentals and Karel robot concepts to international students, fostering inclusive learning environments worldwide.
Education & Achievements
Academic excellence and professional recognition
Education
BS in Computer Science
Khushal Khan Khattak University Karak (2020-2024)
Grade: 3.6
🏅 HEC Higher Achievers Awardee 2024 - Recognized among 52 nationwide achievers
Major Awards & Recognition
🏅 Prime Minister Award for Professional Excellence
🎖️ Recipient of Souvenir from Army Chief
🥇 3× International Hackathons Winner
👨🏫 Section Leader Mentor @ Stanford Code in Place
🏆 25+ Hackathon Participant
Research Interests
Focus areas driving my academic and professional pursuits
Self-supervised Learning
Exploring unsupervised learning paradigms for robust AI systems
Computer Vision + NLP
Multimodal AI systems combining visual and textual understanding
AI Psychology
Understanding human-AI interaction and cognitive modeling
Minimal Supervision AI
Developing AI systems that learn effectively with limited labeled data
Key Projects
Innovation-driven solutions that showcase technical expertise
3D Meditation Platform
🥇 Winner of 3D AI Models Hackathon - Immersive 3D AI mindfulness experience combining 3D modeling, VR development, UX design, and mindfulness practices.
SpectraCreate (WebGPU)
🥇 Winner of WebGPU Hackathon - Revolutionary 3D modeling tool powered by WebGPU, offering browser-based platform with real-time collaboration and cutting-edge performance.
Plant Classification using YOLOv8
Applied YOLOv8 model for plant leaf classification project, leveraging state-of-the-art object detection capabilities for agricultural and environmental applications.
Technical Competencies
Technologies and frameworks driving modern AI solutions
AI/ML Technologies
Large Language Models (LLM), RAG, Fine-tuning, NLP, Machine Learning, YOLOv8, TensorFlow, PyTorch
Programming & Web
Python, JavaScript, HTML/CSS, ReactJS, Flask, Vue.js, Frontend & Backend Development
Cloud & Tools
Microsoft Azure, WebGPU, Docker, Git, GitHub, Google Colab, Data Visualization
Specialized Skills
LLMOps, Agents, Multiple Agents, RASA Platform, Streamlit, Open AI LLM, 3D Modeling