MANSOOR ALAM

Machine Learning & Deep Learning Engineer | Computer Vision | AI Researcher I am a Mechatronics Engineer with a strong research background in Machine Learning (ML) and Deep Learning (DL), having completed both my Bachelor's and Master's research in Artificial Intelligence. With 5+ years of hands-on experience, I specialize in developing, training, and deploying intelligent computer vision and machine learning solutions for real-world applications. My expertise spans the complete AI development pipeline, including data preprocessing, feature engineering, model development, training, evaluation, optimization, and deployment using state-of-the-art machine learning and deep learning frameworks. Technical Skills Machine Learning Random Forest Support Vector Machine (SVM) k-Nearest Neighbors (kNN) Naïve Bayes Logistic Regression Artificial Neural Networks (ANN) Ensemble Learning Model Evaluation & Hyperparameter Optimization Scikit-learn Deep Learning TensorFlow Keras CNN (Convolutional Neural Networks) Faster R-CNN U-Net YOLO Transfer Learning Custom Model Development Areas of Expertise Image Classification Object Detection Semantic & Instance Segmentation Image Recognition Anomaly Detection Medical Image Analysis Custom Dataset Preparation & Annotation Model Training, Validation, and Performance Optimization Project Experience I have successfully developed AI solutions across multiple domains, including: Agriculture Crop monitoring Plant disease detection Fruit detection and classification Medical Imaging Cancer diagnosis Lesion detection Medical image segmentation Disease classification Industrial Inspection Anomaly detection Quality inspection Defect detection Retail & Consumer Goods Product detection Object recognition Inventory-related computer vision applications Research Interests Real-time Object Detection using Deep Learning YOLO-based Detection and Tracking Systems Medical Image Analysis for Cancer Diagnosis Deep Learning-based Anomaly Detection Image Classification and Recognition Semantic and Instance Segmentation Custom Dataset Annotation and Labeling for Faster R-CNN, YOLO, and Other Detection Models Explainable AI (XAI) and Efficient Deep Learning Models Tools & Technologies Python TensorFlow Keras Scikit-learn OpenCV NumPy Matalb Google colab Pandas Matplotlib Jupyter Notebook I am passionate about transforming research into practical AI solutions and continuously exploring the latest advancements in Machine Learning, Deep Learning, and Computer Vision. Feel free to contact me for collaborations, research opportunities, or AI/Computer Vision projects.