Software Engineer Intern

Tesla, Inc.

• Incoming software and data intern for Winter/Spring 2025

January 2025 - Present

Software Engineer Intern

Ingram Micro

• Designed and implemented an ETL pipeline using Apache Airflow and Python to push on-premise data from PostgreSQL to a GCP cloud bucket, which then triggers a Cloud Function to load the data into BigQuery, reducing data transfer latency by 30% and improving overall data processing efficiency by 25%.
• Employed LangChain with models such as GPT-4o-mini and Gemini 1.5 Flash for summarization, data cleaning, and response generation on external documentation, utilizing Google Vertex AI and OpenAI to enhance data quality, streamline information processing, and improve automated response accuracy.

June 2024 - December 2024

Deep Learning Researcher

Molloi Lab - UC Irvine

• Trained a deep learning segmentation model over 1000 contrast enhanced CT angiography images using PyTorch and the MONAI frameworks to identify critical levels of calcium in the coronary arteries
• Evaluated and optimized multiple loss functions for medical image segmentation, including Dice loss and Hausdorff loss, and developed a GPU-optimized Hausdorff loss function to enhance computational efficiency and model accuracy in coronary artery calcium deposit detection

April 2024 - June 2024

Software Engineer Intern

Spurs Sports & Entertainment (NBA)

• Transitioned key data pipelines and CI/CD workflows from Jenkins to Airflow, incorporating Docker for consistent execution environments and utilizing Airflow’s dynamic DAGs (Directed Acyclic Graphs) and advanced scheduling for enhanced workflow management
• Collaborated with frontend teams to develop and test API integration, ensuring seamless communication between FastAPI endpoints and React-based applications, resulting in a 15\% increase in user interaction efficiency

October 2023 - May 2024

Undergraduate Researcher

UC Irvine

• Collaborated with a team to optimize our relational database, implementing Spark’s distributed clusters which reduced processing times by 45% and improved large-scale data analytics efficiency by 30%
• Devised comprehensive unit tests using the PyTest testing framework to validate the performance of PySpark SQL queries leading to a test coverage of 95% and reduction of data inconsistencies

June 2023 - October 2023

Lab Assistant: ICS 46

UC Irvine

• Assigned exercises on Github and graded weekly homework assignments for UC Irvine’s ICS 46: Data Structure Implementation and Analysis
• Oversaw open lab hours three times weekly to help debug course projects and implement data structure concepts such as DAG graphs, hash maps, and AVL trees resulting in a 95% positive anonymous student-tutor feedback

March 2023 - June 2023

Programming Instructor

WhizKids Computer Center

• Lectured classes of 3-5 students in topics including Python, Java, front-end web development, PyGame, data structures and algorithms, and machine learning
• Motivated student interest in computer science through personally developed take home projects such as weather forecasting, quiz/studying, and type racing based web-apps shown by a returning student rate of 90%

January 2022 - November 2022

Lab Assistant: ICS 32A

UC Irvine

• Provided open lab hours three times a week for two hours, each lab to debug course projects and implement Python and programming concepts such as recursion, classes, web API’s, networks/sockets, and Tkinter

September 2021 - December 2021

Student @ UC Irvine

UC Irvine

• Admitted into UC Irvine in 2020 with an expected graduation date of Winter 2024
• Currently majoring in Computer Science with a minor in Statistics and also Informatics

September 2020 - Present