Worked on Audible.com Website, (Java JSP), Audible Backend Services (Java), Amazon.com Customer Service Agent application (React, Typescript) Amazon.com Customer Service Data Pipelines (AWS, SNS, SQS, Lambda, SQL)

· Apply NLP techniques to predict judge scores on intercollegiate debate competitions with acoustic-prosodic and lexical features

· Implement high-integrity, reproducible machine learning experiments with comprehensive documentation and logging using Python-Sacred with Scikit-Learn

· Plot and interpret accuracy, F1, and R-squared score landscapes for models to inform hyperparameter tuning

· Extract, preprocess, and integrate acoustic features using Python-Parselmouth, a Praat frontend.

DS&A UTA (Software Analysis and Design III) Spring 2020

· Serve students by tutoring C++, emphasizing self-confidence, planning, and documentation

· Automated grading two C++ projects at 20 unit tests each for 200 students using C++ testing framework Catch2; Auto-generate score reports sent to maximize student feedback.

Senior UTA (Intro to CS, Python) Fall 2020

· Guest lecture 400 students for 10 minutes about indefinite loops in Python

· Automated student whiteboard quiz grading as a Senior Team member, saving 2 hours of

scanning and grading daily across 450 enrolled students

· Promotes communication between the students and the Hunter College administration

· Administers exams, resolves Gradescope issues, and performs various administrative functions

· One of 6 Hunter Students selected for a week-long, intensive lecture series supported by the MIT Department of Biology; Brain and Cognitive Science department; and the NSF-funded Center for Brains, Minds, and Machines.

· Understood theory and practice of underlying quantitative methods for quintessential works in cognitive neuroscience

· applied visualizations of calcium imaging in the brain and General Linear Models for fMRI analysis

· Delivered MATLAB assistance for collaborative implementations of aforementioned methods to non-technical peers

· Increase response speed to customers with an interactive observability dashboard by using a Node API and Vue frontend

· Elicited requirements through direct stakeholder meetings and passed performance and interoperability benchmarks

· Adhered to rigorous code standards with unit tests, strong typing with Typescript, and weekly code reviews

· Adapted to time constraints, fulfilling 12-week internship milestones despite abridged 8 week internship period