Programming Assistant for Exception Handling with CodeBERT

ICSE 24 Research Publication

Professor: Tien Nguyen

Proposed Neurex, an exception-handling recommender learns from complete code, accepts a given Java code snippet, and gives recommendations about exception handling.

Co-Authors: Yuchen Cai, Aashish Yadavally, Abhishek Amol Mishra, Genesis Montejo, and Tien N. Nguyen

Neural Exception Handling Recommender

ICSE 24 Poster

Professor: Tien Nguyen

Worked on a multi-tasking large language model that recommends what exception to give for a code snippet.

Co-Authors: Yuchen Cai, Aashish Yadavally, Abhishek Amol Mishra, Genesis Montejo, and Tien N. Nguyen

Measuring Defensive Efficiency with Event Data

StatsPerform ProForum 2022 Conference

Research Lead: Soumyajit Bose

Research proposal creating 4 machine learning solutions to solve and evaluate metrics for defensive ability in soccer center-backs was 1 of 10 papers accepted globally and was the only undergraduate student to present at the conference.

Co-Authors: Yuchen Cai, Aashish Yadavally, Abhishek Amol Mishra, Genesis Montejo, and Tien N. Nguyen

CS Research Assistant for Professor Tien Nguyen

Jan 2023 — May 2023

University of Texas at Dallas

Was invovled in two projects - both based in researching AI/ML for Code: API-Representational Learning and Exception Handling with ML.

Tasks included aiding the team in building and compiling projects, running tasks on state-of-the-art Ares server, and helping the research in idea creation and discussion. One of the two undergraduate research assistants that Prof. Tien Nguyen hired for research in which UTD is ranked #7 among universities in the United States.

ACM Development Officer

November 2022 — Present

Applying my skills as a backend developer for the ACM Development Team. Primarily, I am involved in helping out in building Portal v2—the next iteration of the ACM Portal.

Have been involved in building out schema for a new database system, migrating databases, designing and leading the architecture of the new application system within the Portal.

Toyota Sponsored Challenge Finalist (Top 4)

November 2022

HackUTD

Led the creation of “Sobrive,” an app that used image recognition to help people against drunk driving.

Successfully showcased in front of Toyota judges and placed in the top four.

HackDFW Finalist (Top 7)

October 2022

HackDFW

Led the creation of “Themis,” a machine-learning service to aid information equality in the Supreme Court.

Selected to present before a Google-judge panel as one of seven finalists out of 500+ participants.

ACM Research Technical Lead

May 2022 — Present

Object Detection with Thermal Imaging

Leading research on object detection using thermal imaging (FLIR dataset). Teaching transfer learning, data augmentation, preprocessing pipelines, and TensorFlow/Keras.

Goal: build, deploy, and validate a robust model in UTD’s parking structure garage.

ACM Research Mentee

January 2022 — May 2022

Determining Exoplanets

Researched atmospheric composition of exoplanets using ML. Spearheaded FNN and CNN models to replicate NASA Astrobiology Team results with fewer resources.

Led team in model development and evaluation.

AIS Projects Mentee

January 2022 — May 2022

“Emo7ion” Emotion Detection App

Developed backend; handled data in Amazon S3, built model in SageMaker, and deployed via AWS Endpoints.

Assisted front-end team to connect webcam feed to the deployed model.

HackReason 2nd Place Winner

January 2022

Prolog & SCASP AI System

Led a four-person team to build an AI-based support system for at-risk students, placing 2nd among primarily graduate competitors.

Developed inference logic in Prolog/SCASP to recommend personalized development steps.

ACM Project Mentee

January 2021 — May 2021

“Commodity” Resource App

Led backend development using Firebase Auth and Google Maps/Places API to connect low-income users with nearby resources.

Managed data flows and authentication for the entire application.

AES Scholarship

Aug 2020 — May 2023

University of Texas at Dallas

Recevied academic merit scholarship to cover 90% of tuition fees.