Columbia M.S. Applied Analytics candidate with experience in data science, machine learning, and data engineering. Skilled in Python, SQL, PySpark, and ML, with applications across semiconductor failure analysis, automotive computer vision, and large-scale data analytics.
Overview
2
2
Languages
2
2
years of professional experience
Work History
Imaging Algorithm Intern
RoboSense Technology Co., Ltd.
06.2026 - 08.2026
Researched and evaluated computer vision and image-processing algorithms for automotive camera systems, focusing on image quality enhancement and electronic image stabilization (EIS).
Developed quantitative evaluation workflows using PSNR, SSIM, and motion/jitter metrics to benchmark image quality and stabilization performance across experimental conditions.
Investigated RGB-depth multimodal perception and reproduced segmentation approaches including SAM2 for object segmentation and edge extraction.
Conducted subjective/objective evaluation and A/B testing to compare algorithm performance and support engineering decisions.
Software Engineer Intern
Yousonic Technology Ltd.
05.2024 - 08.2024
Integrated Google Cloud Speech-to-Text and Alibaba Cloud APIs into intelligent acoustic applications.
Processed and analyzed 2,000+ acoustic measurements using Python for feature extraction and machine learning.
Conducted acoustic experiments across 10 real-world scenarios and evaluated objective performance metrics to validate algorithm performance.