IbrahimAlobaid
About me: Passionate AI Engineer specializing in Large Language Models (LLMs), Multimodal AI, and Deep Learning. With a strong background in Computer Vision, NLP, and AI-driven automation, I have developed and deployed scalable AI solutions across industries, including autonomous driving, sports analytics, and intelligent document processing. My expertise lies in designing robust AI architectures, optimizing model performance, and integrating AI with real-world applications. I am proficient in Python, TensorFlow, PyTorch, FastAPI, and MLOps, with hands-on experience in LLM-based chatbot systems, computer vision for sports analysis, and AI-powered document retrieval. Key Achievements: - Car Recommendation Chatbot – Developed a scalable AI chatbot API leveraging LLMs and multimodal capabilities for real-time car recommendations. - AI-Powered Football Analysis System – Built real-time object detection models (YOLO) to analyze players, referees, and ball movements, improving accuracy by 25%. -AI-Driven Document Processing System – Implemented semantic search, vector indexing, and RAG to optimize document retrieval, reducing search time by 80%. ✅ Autonomous Driving Perception System – Engineered cutting-edge computer vision models for object detection, tracking, and environmental perception using stereo vision, LIDAR, and deep learning. I thrive on solving complex AI challenges and am always eager to collaborate on innovative AI projects that push the boundaries of technology. Let’s connect!
Total Score: 7
Homework submissions
Homework 1: Introduction
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Project submissions
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