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@muhammadumer17
I am an ML/DL engineer focused on computer vision and NLP.
I am an ML and deep learning engineer specializing in computer vision and natural language processing with hands-on internship experience building models for real-world applications. During my internship and academic projects I developed image classification (MobileNetV2), sentiment-analysis models (91%+ accuracy), and an automated essay scoring pipeline achieving ~0.64 MAE and ~0.32 R².
I build production-aware solutions using Python, TensorFlow/Keras, YOLO, BERT and edge deployment tools like TensorFlow Lite and NVIDIA Jetson, emphasizing model explainability and optimization (Grad-CAM, FP16). I am driven to continue CV/NLP research, push models to edge devices, and pursue opportunities that support research growth and practical deployment.
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Work history, roles, and key accomplishments
Rhombix
Jan 2025 - Present (10 months)
Developed and optimized machine learning models for computer vision and NLP tasks, handling data preprocessing, model training, and performance evaluation using Python and popular ML libraries; collaborated on experiments, codebase and edge deployment.
Degrees, certifications, and relevant coursework
Bachelor of Computer Science, Computer Science
2021 -
Activities and societies: Final-year FYP: Face mask detection & recognition; Smart Object Detection System (MobileNetV2); Twitter Sentiment Analysis; Automated Essay Scoring; BERT-based Fake News Detection (in progress).
Pursuing a Bachelor of Computer Science at the University of Sargodha with a focus on machine learning, computer vision, and NLP. Expected graduation 2025.
Software and tools used professionally
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