Machine Learning Engineer

I specialize in machine learning and image processing, with a strong foundation in object-oriented programming using C/C++, Python, PyTorch, Sklearn, and SQL. My expertise enables me to design and deliver innovative solutions. I worked on Car Pose Estimation, where I estimated the pose of vehicles from images captured by onboard cameras. This was achieved using 3D to 2D transformations with a camera calibration matrix, rotation matrix, and translation techniques, supporting advancements in autonomous driving. In Predict H&M Customer Purchases by Age, I developed a product recommendation system based on customer transaction data. For Steel Defects Detection with Mask+UNet, I built an algorithm for localizing and classifying surface defects on steel sheets, ensuring quality control in the manufacturing process. I created an automated tool for grading the severity of diabetic retinopathy in Diabetic Retinopathy Detection, a project that aimed to aid in early diagnosis and treatment for a leading cause of blindness. I also designed models to classify mixed protein patterns in microscope images in Human Protein Image Classification, contributing to advancements in biomedical research. With a proven track record of tackling complex machine learning challenges, I bring strong problem-solving skills, a passion for innovation, and a commitment to delivering high-quality work.