cv

Software Development Engineering Intern

The Disability Champions

• Developed a case management system for agents to manage clients and claims, featured with to do list, budget and so on.
• Focused on database management, schema design, API design, user authentication, data automation via web scraping, etc.. Utilized Python, FastAPI, Strawberry, SQL Alchemy, AWS (RDS, S3, API Gateway), PostgreSQL, Playwright, etc..
• Enhanced work efficiency of firm employees by automating management processes, achieving an average latency less than 100ms. Refined existing data automation tool’s time for updating data per client from 10 min to less than 1min. The application is intended to be released and on market.

Full Stack Development Intern

Indolike

• Constructed an E-commerce website, including browsing, payment, authentication/authorization, and other features.
• Delivered full stack development including REST API development, data management, and frontend implementation. Applied Java, Javascript, HTML, leveraged Vue.js and SpringBoot, and integrated Stripe for payment gateway.
• Simplified and streamlined online shopping process into minutes.

Software Engineer Intern

Convoloo

• Established an exam preparation web platform, featuring dashboards, practice exams, and AI-powered preparation plans.
• Headed to full-stack development, operated C# and .Net, utilized SQL server image on Docker and Vertex AI.
• Maximized usability of the web application and revised average session duration from minutes to over an hour.

Student Software Engineer (CS Department)

Emory University

• Designed and constructed a Workload and Resource Monitoring tool to provide real-time metrics during assignment processing, leveraging Slurm, Nvidia-smi, Prometheus and Grafana, currently used by 30+ Emory researchers.
• Built the wrapping software of a chatbot, aiming to restructure professor-student interactions. Led development of multiple frontend pages deploying Flutter and Dart. Optimized page refresh rate from about 3 seconds to real-time speed. Launched on App Store and GooglePlay Store platforms, tested by 100+ users.

Master in Intelligent Information System (Multimodal LLMs)

Carnegie Mellon University - School of Computer Science

Bachelor in Computer Science

Emory University

• GPA: 3.98/4.00
• Dean's List
• Magna Cum Laude

EGHI/GT Hackathon for Mental Health Technologies - 2nd Prize

Georgia Tech

Proposed and delivered an e-health platform for practitioners to manage and collect patients’ real-time and other data.

Speech Emotional Hotspots Prediction

Carnegie Mellon University

Prof. Carlos Busso

• Aimed on predicting emotional hotspots in long conversations with proposed framework R-CRNN.

Chest X-Ray Image Synthesization

Stanford University

Prof. Byung Yoon

• Synthesized X-Ray bone images by fine-tuning Stable Diffusion pipeline with Google Cloud GPU and HuggingFace.

Sleep-wake Fragmentation Prediction

Stanford University

Dr. Renske Lok

• Predicted sleep-wake fragmentation using collected data, applied supervised machine learning models Random Forest and XgBoost, tested with MLP, and GPT-4, achieving an average f1 score of 0.85.
• Worked towards a publication, and is responsible for machine learning and relevant result sections.

Trip Planner

• Synthesized X-Ray bone images by fine-tuning Stable Diffusion pipeline with Google Cloud GPU and HuggingFace.