Visual Content Developer Executive, SOFTEKO.
Problem solving, Algorithm analysis, Artificial Intelligence(AI), Image Classification, Image Segmentation, Java, Python, MATLAB, Mathematica, Latex, NumPy, SciPy, TensorFlow, Deep Learning, Bayesian Deep Learning, Neural Networks, Predictive Modeling, Data Science, Applied Statistics, Computational Mathematics, Operating Systems and Administration, Computer Networks, and Software development.
- Analysis of Uncertainty in Different Neural Network Structures using Monte Carlo Dropout
- Paper titled Exploring Node Classification Uncertainty in Graph Neural Networks got accepted at the ACM Southeast Conference 2023 (ACMSE2023) in the short paper category.
- Paper titled UnIC-Net: Uncertainty Aware Involution-Convolution Hybrid Network for Two-Level Disease Identification got accepted at IEEE SoutheastCon 2023 in the full paper category.
- Linux Content Developer Executive, SOFTEKO.
- Teaching Assistant (TA) , CSE Department, School of Data and Sciences.
- Teaching Assistant (TA), MNS Department, School of Data and Sciences.
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