
Muhammad F.
Computer Vision Expert
Habilidades

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Portfólio
Experiência profissional
Team Lead
Techgenesys • Período integral
Nov 2024 - Present • 1 yr 9 mos
Key Projects • AI Fabric Defect Detection: Built a real-time computer vision system for textile inspection using deep learning, detecting weave defects, stains, holes, and slubs with edge-AI deployment. • CPEC Road Surface Monitoring: Developed YOLOv8 and U-Net models for crack, pothole, and road damage detection using PyTorch and OpenCV. • ADGenie – Generative AI: Created text-to-image pipelines with Stable Diffusion, FLUX.1-schnell, LoRA, ComfyUI, and Hugging Face for AI content generation. • Emotion-Aware Conversational AI: Developed an LLM, RAG, and LangChain-based chatbot with FAISS retrieval and RoBERTa emotion classification. • AI Workflow Automation: Built autonomous AI workflows using n8n, FastAPI, LangChain Agents, and ComfyUI. Core Stack: PyTorch, TensorFlow, LangChain, FastAPI, YOLOv8, Stable Diffusion, ComfyUI, n8n, FAISS, RoBERTa, OpenCV.
Lecturer
National University of Computer and Emerging Sciences • Período integral
Aug 2023 - Present • 3 yrs
• Taught Professional Practices in IT and Parallel & Distributed Computing, emphasizing practical, industry-aligned learning. • Designed and delivered engaging lectures, labs, and real-world assignments to enhance technical depth. • Mentored students on ethics, teamwork, and leadership while evaluating Final Year Projects across various domains. • Supported and helped organize seminars, workshops, and student development events, enhancing engagement and exposure to emerging technologies. • Contributed to departmental activities, academic reviews, and initiatives that promote academic integrity, discipline, and student success.
Lecturer in Computer Science
Riphah International University • Período integral
Sep 2021 - Aug 2023 • 1 yr 11 mos
• Educated students in advanced programming languages and computer architecture at Riphah International University. • Organized events like IdeaPitch to foster innovation and collaboration among students. • Contributed to open house events, enhancing community engagement by showcasing graduate projects. • Developed strong communication and organizational skills essential for a vibrant academic environment.