Boston, Massachusetts, United States
I have more than 10 years of experience as an ai engineer, specializing in computer vision, LLM, neural networks, big data management, deep learning. I am passionate about making analyzes using machine learning methods, understanding data and presenting concrete results in line with expectations. My recent achievements include: - I worked in the risk management departments of banks. - I made churn and upsell forecasts for telecommunication customers. Apart from my work experience, I also specialized in the academic field and took part in artificial intelligence and cancer research. I am taking part in the cancer research project at Harvard. Feel free to message me to learn more about me. Specializations: Artificial Intelligence, Machine Learning, Computer Vision, Data Science, Statistics, Bioinformatics, Biostatistics, Predictive analytics.
In my role as a Graduate Research and Teaching Assistant for the course Biomedical Image Acquisition (ENSC 477), I support both the instruction and research components of a specialized curriculum focused on the principles, physics, and engineering of medical imaging technologies. The course covers key modalities such as radiography, sonography, computed tomography (CT), and magnetic resonance imaging (MRI). My responsibilities include: - Assisting faculty in the development and delivery of course materials, including lectures, labs, and assessments - Providing technical support and guidance to students in mastering complex imaging techniques and theoretical concepts - Facilitating hands-on learning experiences in imaging technologies through lab-based exercises and demonstrations - Grading and providing detailed feedback on assignments, projects, and exams to ensure academic rigor and student comprehension - Collaborating with faculty on curriculum improvements and contributing to research projects in biomedical imaging