Experience

Work Experience

Much of my professional experience is teaching or mentorship related but I am hoping to break into Tech with an internship during Summer 2023. If you are a recruiter looking to fill a machine learning role for Summer 2023, let's chat!

Visiting Lecturer, Computer Science Department at Cornell University

Fall 2022

Because of my work as a teaching assistant in Fall 2021, the Computer Science department at Cornell requested that I teach a course of 200 students in Fall 2022. More information about the course can be found on the Teaching page.

Graduate Coordinator, CU EMPower within Diversity Programs in Engineering at Cornell University

Fall 2021 - Present

CU EMPower (Cornell University Engineering Mentorship Partnership) is a mentorship program within Cornell Engineering that pairs first-year, URM undergraduates at Cornell with a student mentor. I worked as the main coordinator for the whole program (~80 participants) to plan events, support mentors, fasciliate mentor-mentee matches, and make sure the program runs smoothly. If you are a first year undergraduate within Cornell Engineering and are looking for a mentor, feel free to reach out to me!

Program Developer, Learning Assistant Program at UCLA

Spring 2017 - Spring 2019

The Learning Assistant Program at UCLA is an evidence-based multidisciplinary instructional strategy whose purpose is to make introductory science courses at UCLA more equitable. As a program developer, I helped coordinate the efforts of 200 learning assistants whose efforts reached around 5000 UCLA undergraduates.

Researcher, Applied Mathematics REU at UCLA

Summer 2018

Over the summer I worked at a REU (Research Experience for Undergraduates) within UCLA Mathematics. We investigated the inertial flow of fluid flowing past a sequence of pillars in a microfluid channel. By analyzing a large dataset of fluid flow deformations, we developed an algorithm to pick optimal pillar sequences to deform an initially square portion of fluid into a desired output shape. We tested the combined use of PCA, genetic algorithms, and various distance metrics.

Service

I have extensive mentoring experience and welcome new mentees!

Mentor, UCLA ONE

Fall 2020 - present

UCLA ONE is the website that is used to connect with current students and alumni at UCLA. I mentor Rares Fota (physics major, UCLA class of 2024) who aspires to become a PhD student. Additionally, I mentor Sahire Ellahy (mathematics major, UCLA class of 2022) who is interested in video game development and artificial general intelligence.

Mentor, Out In Tech

Spring 2021

Out In Tech is a non-profit corporation that supports LGBTQ+ individuals in tech through networking events, mentorship, and connections to various resources and jobs around the United States. I participated in their mentorship program and was selected to be the mentor for a UX Researcher named Jed Rodriguez. Together, Jed and I worked in a machine learning and data analysis project in which we analyzed how COVID-19 related to different variables like social service funding, unemployment, crimes and lgbtq population size across the United States. Jed is currently a UX Researcher at Google!

Mentor, Directed Reading Program within Cornell Mathematics

Summer 2021

Reading programs allow undergraduates to learn a subject outside of the classroom and develop scientific communication skills. I mentored Lu Cao (Mathematics and Computer Science and Statistics major, Cornell class of 2023) in a machine learning reading course. We uncovered the mysteries of machine learning through reading Pattern Recognition and Machine Learning by Bishop and going over Cornell's CS 5780 lectures .