I am an AI/ML/DL Engineer based in Tashkent, Uzbekistan, with a strong academic background in Computer Engineering from Tashkent University of IT. My focus areas include algorithms, data structures, and object-oriented programming languages, which have provided me with a solid foundation for developing advanced machine learning models.
I have hands-on experience working on projects such as Food-Vision, a multiclass image classifier for food items. Utilizing PyTorch and the EfficientNetB2 model, I achieved 98% accuracy with real-time prediction capabilities. This project demonstrates my ability to apply deep learning techniques effectively to solve real-world problems.
In addition to my technical skills, I have completed specialized courses including the PyTorch for Deep Learning Bootcamp on Udemy and Deep Learning: Beginner to Advance on Codebasics.io, which have further enhanced my expertise in deep learning frameworks and methodologies.
I am passionate about continuous learning and improvement, as evidenced by my active participation in competitive environments such as chess.com, where I have achieved notable ratings. I am eager to contribute my skills and knowledge to challenging AI and machine learning projects.
I am proficient in Python and PyTorch, and I am committed to leveraging these technologies to build innovative solutions. I am looking forward to opportunities where I can apply my skills in AI, machine learning, and deep learning to make a meaningful impact.
Focus area on Algorithms and Data Structures, Object-Oriented Programming Languages; Overall GPA: 4.09
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