Resume

- Researched, designed, and implemented a text-based language classifier using bidirectional LSTM recurrent neural networks with Keras. Achieved f1 score greater than 0.9

- Researched, designed, and implemented a speech-based language classifier using Fast-Fourier Transforms and Convolutional Neural Networks with Tensorflow and Keras. Achieved f1 score greater than 0.8

- Developed a CUDA-based algorithm to parallelize training of sequential data in a deep learning model

- Project Lead, with a team of four, for a digital assistant tasked with summarization and question answering (presented at the 2022 Consumer Electronics Show and the 2020 Bots and Assistants Conference). Developed rule-based and AI conversation flows in addition to final integration of team code database

-Designed and implemented a voice assistant using ChatScript that conducts natural conversations based on user interests

- Implemented a wake word engine using ChatScript to detect when a user is speaking; reduced misfire rate by 20%

- Designed a natural language parser to decompose a verbal or written email address into its components

- Created an API in Python to select a proper Machine Learning model that best matches a user query to a Natural Language Processing engine. Developed and tested the solution in both Linux and Windows environments

- Followed Agile development techniques using source control

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- Major GPA:        3.98

- Overall GPA:      3.92

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- Computer Science Major, Statistics Minor

- GPA: 4.57

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- SAT: 1500 

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- Qualifier at the 2019 Berkeley Math  Tournament

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- Qualifier at the 2018 Caltech-Harvey Mudd Math Competition

- Project Lead for the subvocalization project that earned 1st place in the United States in the NeuroTechX Competition in November 2020.

Click here to see the 'Boolepathy' project

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- Wrote and awarded grant proposals from OpenBCI, UCSC Academic Research Project Fund, and UCSC Student Fee Advisory Committee totaling over $4,000 to fund club research projects

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- Created and presented a curriculum to the general body of 30 attending members. 

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- Researching alternate means of visual communication via steady-state visually evoked potentials and eye-tracking to assist and increase information transfer rate of disabled individuals.

- Advised by Professor Jason Samaha

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- NeuroTechSC is a chapter of the worldwide NeuroTechX Student Club Organization

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