Experience

Computer Science and Engineering at the University of Michigan

• United States
• Higher Education
• 1 - 100 Employee

• Computational HCI Lab Research Assistant

  • Apr 2023 - Present

  Project Title TBA

• Graduate Student Instructor

  • Aug 2022 - Present

  EECS 281 Data Structures and Algorithms - Fall 2022, Spring 2023, Fall 2023EECS 403 Graduate Foundations of Data Structures and Algorithms - Winter 2023• Lead lab sections for class• Hold office hours• Grade and provide feedback on assignments



Argonne National Laboratory

• United States
• Research Services
• 700 & Above Employee

• SULI Intern

  • May 2022 - Aug 2022

  • Replicated AUC results from MOLI and Velodrome model papers • Optimized hyperparameter training of MOLI using Ray tune • Replicated AUC results from MOLI and Velodrome model papers • Optimized hyperparameter training of MOLI using Ray tune



Macalester College

• United States
• Higher Education
• 700 & Above Employee

• MSCS Department Preceptor

  • Jan 2020 - May 2022

  COMP 128 Data Structures - Spring 2020COMP 123 Intro to Computer Science - Fall 2020COMP 361 Theory of Computation - Spring 2021COMP 240 Computer Systems - Fall 2021COMP 365 Computational Linear Algebra - Spring 2022• Held office hours• Graded and provided feedback on assignments

• Research Assistant

  • Sep 2021 - Apr 2022

  • Developed Prototype App for Reducing Driving Anxiety through Machine Learning• Passed Macalester MSCS Honors Thesis Defense

• Russian Tutor

  • Aug 2019 - Jan 2020

  • Held bi-weekly office hours for students in RUSS 100-305• Graded assignments• Organized German and Russian Department events



UChicago Data Science Institute

• United States
• Research Services
• 1 - 100 Employee

• Research Assistant

  • Jun 2021 - Aug 2021

  • Researched, collaborated and built an accessible mobile app using Flutter framework that uses deep learning models trained on Kaggle datasets to predict prostate cancer risk, skin cancer risk and heart failure risk • Researched, collaborated and built an accessible mobile app using Flutter framework that uses deep learning models trained on Kaggle datasets to predict prostate cancer risk, skin cancer risk and heart failure risk



GogyUp

• United States
• E-Learning Providers
• 1 - 100 Employee

• Software Development Intern

  • Nov 2020 - Apr 2021

  • Designed, programmed and implemented 2 different NLP frameworks successfully into a Smart Dictionary App from spaCy Python library • Compared 2 other implementations of text processing APIs in Python • Presented at 12 weekly Google Analytics website traffic reports at company meetings • Designed, programmed and implemented 2 different NLP frameworks successfully into a Smart Dictionary App from spaCy Python library • Compared 2 other implementations of text processing APIs in Python • Presented at 12 weekly Google Analytics website traffic reports at company meetings



VivaQuant

• United States
• Software Development
• 1 - 100 Employee

• Data Analytics Intern

  • Jun 2016 - Aug 2016

  • Monitored, processed and analyzed heart monitor data from over 20 different patients • Filed 10 weekly data reports • Monitored, processed and analyzed heart monitor data from over 20 different patients • Filed 10 weekly data reports