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SPLASH/OOPSLA'24 Publication
January 2023 — May 2023
Published "Learning to Recommend Exception Handling" with Dr. Tien
Worked on a multi-tasking model large language model that recommends what exception to give for a code snippet.
Co-Authors: Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen
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ICSE'24 Publication
January 2023 — May 2023
Published "Programming Assistant for Exception Handling with CodeBERT" with Dr. Tien
Worked on Neurex - a multi-tasking model with the fine-tuning of the large language model CodeBERT for exception handling.
Co-Authors: Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen
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CS Research Assistant for Professor Tien Nguyen
January 2023 — Present
Working at UTD with the Research Lab of Professor Tien Nguyen as a research assistant.
Currently invovled in two projects - both based in researching AI/ML for Code: API-Representational Learning and Exception Handling with ML.
Current tasks include 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.
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ACM Development Officer
Novemeber 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 invovled in building out schema for new database system, migrating databases, designing and leading the architecture of the new application system within the Portal.
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Top 4 Finalist for Toyota Sponsored Challenge at HackUTD
November 2022 — November 2022
Led the creation of a project called Sobrive - an app that used image recognition to help people against drunk driving.
Had a successful showcase in front of Toyota judges and were in the top four of the projects for the sponsored challenge.
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Top 7 Finalist at HackDFW
October 2022 — October 2022
Led the creation of a project called Themis - a mahcine learning based service that attempted to aid information equality in the Supreme Court.
Project was selected to present in front a panel of judges from Google as the finalist project in a competition involving 500+ people.
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ACM Research Technical Lead - Object Detection Modelling with Thermal Imaging
May 2022 — Present
Being a technical lead for a team to conduct research into object detection with thermal imaging obtained from FLIR dataset.
Goal is to teach incoming freshmen/sophomore about transfer learning, data augmentation, data preprocessing pipelines, Tensorflow/Keras, and buillding a robut, deployable machine learning model.
Hurdles to clear will be preprocessing data, working with complex COCO annotations, understanding transfer learning (ResNet, ImageNet, YOLO) and freezing, and deploying model into real-life and seeing difference between real-life and model-life.
Final goal: Construct and deploy our image classification model and use it in the garage of the UTD Parking Structures.
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ACM Research Mentee - Determining Exoplanets
January 2022 — May 2022
Involved with ACM Research to research determining the atmospheric composition of exoplanets with machine learning.
Led the team in spearheading a plethora of models (FNNs and CNNs) and arrived at mirroring the results of an NASA Astrobiology Team with less resources, time, and experience.
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AIS Projects Mentee - Emo7ion
January 2022 — May 2022
Involved with AIS Projects to develop a full fledged application called Emo7ion which utilized Computer Vision to detect emotions.
Led the backend in initializing data in Amazon S3, creating the model in AWS SageMaker, and deploying the model through AWS Endpoints.
Helped team-members in creation of a front-end application that connected webcam camera to AWS Endpoint for a full model deployment.
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StatsPerform ProForum Conference Presenter
November 2021 — March 2022
Selected to be one of 10 papers/projects accepted from a global invitation of papers.
Worked with teammate Soumyajit Bose to create a novel solution to a research prompt by footballing industry's biggest data provider and collector.
After acceptance of abstract, worked on research to present our findings to a global audience of the data analysts and data scientists from
football clubs, companies, and academia.
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HackReason 2nd Place Winner
January 2022 - January 2022
Led a team of four in a artificial intelligence based hackathon and placed 2nd among a pool of mainly graduate students (only undergraduate winner).
Using Prolog and SCASP, developed an intelligent system of picking up students that were at risk in development and detailed steps to help them.
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ACM Project Mentee - Commodity
January 2021 - May 2021
Led a team of four people to make an app called Commodity which connected low-income people to nearby resources
utilizing Google Maps API.
Led the construction of the backend system with Firebase authentication and utilization of Google Maps and Google Places API.
