Experience

Caltech

• United States
• Research Services
• 700 & Above Employee

• Graduate Student Researcher

  • Sep 2022 - Present

  Minnich Lab Research Interests: Atomic Layer Etching Minnich Lab Research Interests: Atomic Layer Etching



Google

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Jul 2020 - Sep 2022

  Shopping Ads Quality Shopping Ads Quality



Harvey Mudd College

• United States
• Higher Education
• 400 - 500 Employee

• Grader/Tutor

  • Sep 2018 - Jul 2020

  Thesis: Improving Entanglement Purity for Robust Demonstration of One-Way EPR SteeringSpring 2020: Academic Excellence tutor for all core physics classes. Grader for Quantum Physics and Grutor for Quantum Information.Fall 2019: Academic Excellence tutor for all core physics classes.Spring 2019: Grader for Quantum Physics and Grutor for Algorithms. Note Taker for Quantum Information.Fall 2018: Grader for Electromagnetic Theory & Optics, and a private tutor for the class hired by the Academic Affairs.Fall 2017: Grader/Tutor for Computer Science Principles and Practice, the accelerated introductory CS class. Coursework includes assembly, logic gates, graphs, and dynamic programming.Fall 2016: Upward Bound Tutor. Hold weekly tutorials at local high schools to provide assistance to students who will be first-generation college students. Show less

• Researcher

  • Jan 2018 - May 2019

  Thesis: Experimental demonstration of one-way EPR steering.Spring 2020: Excellent poster prize at SQuInT.Fall 2018- Spring 2019: Experimental quantum optics research studying and creating partially entangled photon pairs. Attended SQuInT 2019. Spring 2018: Theoretical physics research on distinguishability of qudit bell states. I wrote a program in python that calculates the size of the stabilizer for any given d dimensional qudit.



Google

• United States
• Software Development
• 700 & Above Employee

• Software Engineering Intern

  • May 2019 - Aug 2019

  Network Capacity Planning Team - Wrote C++ library used to query and extract user groups for product efforts and product groups, and implemented it into an existing pipeline used to produce a service model that obtains network and machine usage. Original process to manually query for user groups and write to config file was sped up to be automatic. - Automated process using Bash to backfill network and compute usage data to be used for prediction. Sped up the data acquisition process from manual backfill to overnight job. - Designed and implemented a Python pipeline to read, validate, aggregate and predict network usage for a specified service by analyzing the relationship between compute and network usage. Sped up the network demand forecasting process and increased flexibility of analysis by using protocol buffers. - Identified the top 20 services on entire Google network based on quality of service, traffic volume, and network coverage. Allowed for team to prioritize services to predict and identified cluster migrations. Show less



Google

• United States
• Software Development
• 700 & Above Employee

• Engineering Practicum Intern

  • May 2018 - Aug 2018

  Ads Integrity Team - Determined the impact of stale data on ads classification models. Results led the team to optimize the training process of the models. - Wrote an experiment document specifying the details and results of the experiment. Allowed for new full-time employees to understand the lifetime of the team’s classification models and gave preliminary results for other machine learning teams to build on the experiment. - Constructed multiple Flume data pipelines in C++ to be used as input for machine learning models. Created, trained, and evaluated multiple models using TensorFlow (TFX platform). Visualized results on a dashboard for increased accessibility. Show less



Girls Who Code

• United States
• Civic and Social Organizations
• 500 - 600 Employee

• Teaching Assistant

  • Jun 2017 - Aug 2017

  -Responsible for teaching 20 high school girls computer science fundamentals over the course of 7 weeks through the Girls Who Code Summer Immersion Program (SIP) hosted by IBM SVL. - Covered a wide range of topics including Scratch, Web Development (HTML, CSS, Django, JavaScript), Robotics (Arduino C), Python, data structures, and algorithms - Learned a variety of hard and soft skills through workshops, including ones on public speaking, Design Thinking, IBM Watson, and product management - Lead class discussions, supported teacher in classroom management, lead several lectures on advanced topics including algorithms, OOP, and robotics - Guided girls in college and career choices, inspiring some to study computer science or engineering Show less



AVID Center

• United States
• Education Management
• 300 - 400 Employee

• Avid Tutor

  • Aug 2014 - Jun 2016

  Assisted students academically and personally to prepare them for college. Assisted students academically and personally to prepare them for college.