Developed NLP solutions for financial document analysis, knowledge graphs, operational predictions, and entity matching, and led the production deployment of relevant models.

Led ML projects in a corporate startup-like team, delivering resource prediction solutions, implementing novel algorithms for Apache Spark, conducting proof-of-concept deep learning implementations, and designing a recruiting fraud solution deployed on Docker and AWS Lambda.

Delivered Machine Learning solutions across a variety of industries relating to business process improvements.

Led A/B testing control cells for Amex recommender algorithm, evaluated impact, developed collaborative filtering and random walk algorithms for merchant recommendation and interest clustering, and implemented graph-based algorithms to discover merchant relationships and interest categories.

Conducted original mathematical research on cryptographic Boolean functions;Coauthored the paper, The theory of 2-rotation symmetric Boolean Functions.

Prepared and delivered lectures and exams for multiple courses in college-level calculus;Supervised and supported teaching assistants and graders for each course;Communicated and maintained course standards, evaluated student performance, resolved grade disputes.

Led four weekly recitation sections to supplement course content and to answer homework questions;Delivered lectures in a wide-variety of mathematics courses when professors were absent;Assisted students weekly with homework and test preparation outside of the classroom;Tutored students from diverse academic backgrounds on an individual basis.

Assisted refugees through the U.S. Reception & Placement resettlement process;Located, negotiated, and prepared apartments for newly arrived refugees.