I'm a Software Developer with a strong focus on AI and machine learning. I build intelligent systems that solve real-world problems — from infrastructure defect detection to structural optimization and data-driven applications.

• Languages: Python, C++, C#, JavaScript
• AI/ML: Deep Learning, Computer Vision, Image Processing, Metaheuristic Algorithms
• Development: Windows Forms (C#), Web (HTML, CSS, JS), Backend (Node.js, PHP)
• Tools: PyTorch, TensorFlow, Keras, Docker, Git, AutoCAD API, ETABS
• Automation & Data: Web Scraping, Dataset Annotation, Data Augmentation, Scripting

• Automated Sewer Pipe Defect Detection
  Developed an AI-based system using deep learning and mask detection to automatically identify defects in sewer pipes from visual data.

• Soil Optimization
  Designed an AI-powered solution for optimizing soil nailing rebar configurations using metaheuristic algorithms to improve stability and efficiency.

• SewerAi_WinForm
  Built a Windows Forms application that integrates sewer defect detection models to help engineers visualize and manage inspection data efficiently.

• DL_Detectron2
  Created an object detection platform using Detectron2, including a custom pipeline for data handling and model training tailored to infrastructure use cases.

• Crypto Intelligence Pipeline
  Implemented a feature extraction pipeline to gather and process market indicators, technical signals, and trends for AI-based crypto trading models.

• Shear Wall Optimization Module
  Developed an ETABS module that automates rebar layout optimization in shear walls using metaheuristic algorithms to reduce material usage.

• ETABS Civil Engineering Plugin
  Built a plugin for ETABS that automates compliance checks and structural analysis procedures to streamline engineering workflows.

• 📧 Email: [email protected]
• 🌐 LinkedIn: sobhan-rajabzadeh

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