🔭 I’m currently working as a AI Research Scientist and Material Data Scientist with over three years of experience, I can bring immediate value to your company by developing and deploying robust machine learning and deep learning solutions that address real-world business needs. My expertise in data mining, predictive modeling, computer vision, time-series forecasting, and end-to-end ML pipelines equips me to design scalable, production-ready systems that enhance decision-making and drive measurable impact. Having worked extensively with Python, TensorFlow, PyTorch, SQL, and Azure, I am adept at handling complex datasets, optimizing algorithms for reliability and performance, and ensuring high-quality code delivery. Beyond my technical skills, I excel in cross-functional collaboration and can effectively bridge the gap between business goals and AI-driven solutions. I am particularly motivated to contribute to your company’s mission by applying my current strengths in industrial AI and ML engineering while quickly expanding into Generative AI, LLMs, RAG, and agent-based architectures. My adaptability, problem-solving mindset, and passion for innovation make me a strong fit for the AI Engineer role, and I am eager to help your organization transform workflows and create cutting-edge AI-powered products
🌱 I’m currently learning about Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) in the steelmaking process, anomaly detection in the steelmaking process, image processing in steelmaking, fault detection in the steelmaking process.
💬 Inquire about Machine learning, Deep learning, OpenCV, Anomaly detection, or Object detection, Image Processing, Image Segmentation, Industry 4.0 & Digitalization in Steelmaking and Refractories, ML application in Material Science and Engineering.
⚡ Fun fact (Not a good idea to mention here)
