University of Southern CaliforniaJune 2024 - Dec 2025
M.S. in Computer Science
University of ConnecticutSept 2020 - May 2024
B.S. in Computer Science
Dean's List Honors
💼 Experience
Software Development EngineerJul 2023 - Aug 2023
HICOCA Intelligent Equipment Technology
Managed backend and server maintenance
Updated framework, improved UI and performance
Configured DB privileges and security
Led UI development with 32% improved user satisfaction
🔬 Research
Comparative Narrative Analysis with Claude 3.7 (Research Assistant)Mar. 2025 - Now
Designed and automated a full Claude 3.7 Sonnet-based LLM evaluation pipeline for 208 narrative pairs under four comparison dimensions (conflict, unique, holistic, overlapping)
Engineered scalable prompt-based inference using anthropic API and batched output parsing, reducing manual judgment workload by over 90%
Structured model responses into JSON and human-readable formats to enable systematic cross-model analysis and future human annotation
Collaborated with faculty and research team on dataset preparation, narrative extraction, and designing metrics for minimizing bias in LLM comparison
OEM Controls Automated Angle Test for AS5Aug. 2023 - May. 2024
Led a year-long capstone project to automate Quality Assurance testing for the AS5 sensor system, significantly improving testing efficiency and reliability
Developed a Python-based control system on Ubuntu to operate a 6-axis robot arm, automating sensor calibration and test procedures with precise "Pass/Fail" feedback and real-time result logging
Designed and implemented a seamless UI-Backend integration using APIs, replacing the previous client version with a fully automated calibration solution
Successfully delivered the project, reducing manual testing time by 67% and improving calibration accuracy by 26%, which enhanced overall efficiency and reliability
📚 Projects
Multi-Backbone Transfer Learning for Fine-Grained Solid Waste ClassificationJan. 2025 - May 2025
Developed a multi-class image classifier for nine waste categories using Python, TensorFlow/Keras, with an 80/20 train/test split and 20% in-training validation for robust model evaluation
Built a preprocessing pipeline to resize images and applied extensive data augmentation (random crops, zooms, rotations, flips, contrast adjustments, translations) to mitigate overfitting
Implemented transfer learning by freezing pretrained backbones (ResNet50, ResNet101, EfficientNetB0, VGG16) and adding custom FC layers with ReLU, softmax, L2 regularization, batch normalization, and 20% dropout; trained with Adam optimizer and early stopping over 100 epochs
Evaluated all models on test set using precision, recall, AUC and F1-score; identified VGG16 as the top performer—achieving highest accuracy and generalization—and selected it as the final model
Led a requirements engineering project to design an AI-powered flight booking assistant
Conducted stakeholder analysis, surveys, and interviews, derived user personas, empathy maps, and categorized requirements
Created and validated a Figma prototype with features including flight search, visa management, smart alerts, and personalized AI chat interface
Applied agile methodology with story-driven backlog, sprint-based development roadmap, and formal validation via usability testing and prototyping
Semantic Retrieval and QA System with Weaviate & RAGSep. 2024 - Dec 2024
Built a semantic search pipeline using Weaviate with text2vec-transformers for vector-based brand similarity via GraphQL nearText queries
Developed a PDF QA chatbot with Streamlit, leveraging PyPDFLoader, ChromaDB, and Hugging Face embeddings in a RAG framework for document-grounded response generation
Student Admin DesignSep. 2023 - Dec. 2024
Collaborated on a group project, using Figma to design the product model and present the plan to stakeholders
Developed and implemented the code to bring each Figma design feature to life
Completed the website development and thoroughly tested all functionalities
Food Ordering App DesignAug. 2021 - Nov. 2021
Used Java to build a food ordering app that could generate an invoice with the name and price of the dish and the total price after ordering
Group leader, used GitHub to share and merge information and parts of what each group member had finished