I completed my masters degree in IISc, in machine learning and signal processing with background of matrix theory, probability and optimization. I can solve the any math problems and coding assignments in python. I am working extensively on machine learning libraries like tensor flow and pytorch. I worked on image processing, compressive sensing, computer vision algorithms. I have a 2 years experience in research domain mentioned in the above topics. I am currently working on research problems in image processing, compressive sensing and computer vision. I have a conference paper on title federated deep unfolding for sparse recovery in EUSIPCO 2021. I am experienced with working on the problem statement independently and giving solutions within a deadline. I am working on current trends in research and academia in the domain I mentioned above. My main line of work is mathematics and coding in the domains mentioned with enormous interest to take up new challenges and solve existing problems by meeting deadlines. Also I trained under a great profile people who are very well known in the world.
Probability and Random Process (Beginner-Expert)
Signal & System (Beginner-Expert)
Machine learning Python (Beginner-Expert)
Python 3 (Beginner-Expert)
Matrix analysis and Applied linear algebra (Beginner-Expert)
No experience mentioned.