Implemented functions that obtain the coefficients of the spherical and rotational harmonics of diffusion tensors. Currently working to generate a delta function to determine voxel direction inside the corpus callosum. Brain voxels were obtained by reading text, NIfTI, and tessellation files. Implementations done in C language.
Implemented the DeepLabV3 model that learns and identifies structures based on positioning of blocks/entities. Segmentation was achieved using a color map and conversion of RGB to a CIELAB color space. This was validated using intersection over union through 51 epochs.
Identified the classification of a wine (red or white) based on a dataset containing the chemical components of given wines. Feature selection methods were used to eliminate features including univariate selection, recursive feature elimination, and principal component analysis. Model validation was done using neural networks, random forest, and decision trees.
Researching how neuropsychiatric disorders affect brain connectivity using MRI imaging.
Implementing an algorithm that determines the intrinsic connectivity of the brain.
Working with a team to present findings in NeuroImage, the most prestigious MRI journal
Introduced a class of 40 students to the fundamentals of HTML, CSS, and
additional frameworks, so that they can apply to their personal websites
Educated 4 classes about intricacies of mobile and marketable application development.
Aided in the development of a mobile application that was presented at a showcase to
real-world industry developers including those from Kingston and HyperX.
Initialized and proctored a new event named “Codebusters” which involves the decryption of enigmatic messages
Expertise:
AI/Machine Learning, Data Mining, Neurobiology, Data Structures, Algorithm Complexity Analysis
Technologies:
Python, C/C++, Java, R, HTML/CSS, mySQL/noSQL, MIPS Assembly, Swift, MATLAB, Pytorch,
Scikit, Numpy, Matplotlib, Tensorflow, Boottrap, Linux, OSX, Windows, MS Office (Word, Excel), Agile
Certifications:
Technical Support Fundamentals Course by Google, Coursera
Credential