Abdul Wahab

PROFESSIONAL PROFILE Final-year Software Engineering student with expertise in full-stack development using Next.js, React, Node.js, and MongoDB. Experienced in building web applications with authentication, role-based access, and RESTful APIs. Completed a research internship in Machine Vision Lab, working with LiDAR data and deep learning for plant biomass estimation, resulting in a paper published in IEEE AICSSA 2025. Skilled in designing and deploying end-to-end software solutions, with hands-on experience in 3D point cloud processing, remote sensing, and data-driven decision-making. EDUCATION Bachelor of Software Engineering School of Electrical Engineering and Computer Science , Islamabad , 3.21 (2026) INTERNSHIP EXPERIENCE Machine Vision & Intelligent Systems Lab 10-Jun-2024 - 25-Jan-2026 Worked on LiDAR-based precision agriculture by converting 2D LiDAR data into 3D point clouds for biomass prediction and spatial analysis. Developed data preprocessing pipelines, handled large-scale spatial datasets, and trained machine learning models to extract actionable agricultural insights. Applied deep learning techniques to predict plant biomass, optimize data representations, and enhance model accuracy. Collaborated with the research team to evaluate model performance and validate results. This work resulted in a paper published in IEEE AICSSA 2025. FINAL YEAR PROJECT LiDAR based Plant Phenotyping for Precision Agriculture Designing a UAV-based 3D point cloud generation approach using 2D LiDAR, focusing on deep learning–based plant biomass estimation. Responsible for collecting and preprocessing LiDAR data, reconstructing 3D point clouds, and developing end-to-end deep learning pipelines for biomass prediction. Performing data analysis, model evaluation, and visualization to extract insights from spatial datasets. Optimizing algorithms for efficiency and precision to develop scalable UAV-based precision agriculture methods. TECHNICAL EXPERTISE Full-Stack Development Next.js, React.js, Tailwind CSS, Bootstrap 5,Node.js, Express.js, MongoDB, REST APIs, Authentication & Authorization (Clerk, JWT, OAuth), CRUD & Role-Based Access, Git, Docker Computer Vision & 3D Imaging 3D Point Cloud Processing, Transformer-based U-Net Segmentation, Remote Sensing Imagery, LiDAR Data Analysis, Plant Phenotyping, Data Preprocessing & Model Evaluation Machine Learning & AI Deep Learning, Transformers, Explainable AI (SHAP/XAI), Biomass Prediction

Final-year Software Engineering student with expertise in full-stack development using Next.js, React, Node.js, and MongoDB. Experienced in building web applications with authentication, role-based access, and RESTful APIs. Completed a research internship in Machine Vision Lab, working with LiDAR data and deep learning for plant biomass estimation, resulting in a paper published in IEEE AICSSA 2025. Skilled in designing and deploying end-to-end software solutions, with hands-on experience in 3D point cloud processing, remote sensing, and data-driven decision-making.