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Work Experience
Spatial Analytics Research
Tufts School of Urban Planning and Policy• August 2021 - Present
Studied modern clustering algorithms used to detect spatiotemporal mobility patterns in triangulated cellular data Developed and reverse engineered software modules for applying high density based clustering on Big Data Reviewed and applied relevant literature for statistical inference and analysis on geospatial data Technologies Used: Python, C++, Bash Scripting, Geopandas, etc.
Software Engineer Intern
Microsoft• May 2022 - August 2022
Developed scalable product systems and features on client facing infrastructure of Azure Core Network Restructured modules and endpoints for Load Balancer configuration into modern component based framework Designed and built system level pipelines to improve architectural design of virtual network service Technologies Used: Typescript, Node.js, React.js, KQL, Docker
Software Engineer Intern
Mathworks• May 2021 - August 2021
Back End Development and Automation Design for MATLAB & Simulink Developed system automation modules in API testing infrastructure to optimize product performance Technologies Used: Ruby (Rspec), Python, Docker, and Javascript
Machine Learning Intern
Kashklik• September 2020 - January 2021
Utilized Natural Language Processing (NLP) and deep learning to classify social media content and improve the efficacy of KashKlik's automated marketing platform Scripted LSTM Model which leveraged sentiment and user intent analysis to accurately pair clients with advertisers Technologies Used: TensorFlow, Scikit Learn, Keras, NLP models (e.g. GloVe, BERT and TF/IDF)
Education
Tufts University
Computer Science, BS• September 2019 - Present
Double Major in Computer Science and Film (with a minor in Mathematics)
Tufts University
Computer Science, MS• September 2021 - Present
B.S. / M.S. program - expected to graduate with M.S. in May 2024
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