CV

Here is a summary of my professional experience in AI engineering and machine learning systems. You can also download my full Curriculum Vitae.

Education

• M.S. in Electrical and Computer Engineering, UC Santa Barbara, 2024

🏢 Work Experience

AI Agent Engineer @ NXP Semiconductors
April 2026 - Present (Incoming)

• Upcoming role focused on AI Agent technologies.

Artificial Intelligence Engineer @ Kipt
Feb. 2024 - June 2024

• High-Accuracy OCR System: Spearheaded the development of a CTPN model for text detection and designed a CNN-based OCR model, achieving over 99% accuracy in production environments.
• System Optimization: Optimized the pipeline for real-time text recognition tasks.

Artificial Intelligence Engineer @ Open AI Fab
Mar. 2022 - Nov. 2023

• Edge AI Development: Independently developed a MobileNetV3-FCOS model to identify children’s development metrics, achieving >80% mAP at 25 FPS on edge devices.
• Efficient Inference: Trained a lightweight MobileNetV3-SSD model for sock top detection, achieving >95% mAP with an ultra-low inference time of <0.01 seconds.
• Model Deployment: Successfully converted and deployed models using Core ML and Snapdragon SDK for mobile and edge device integration.

Machine Learning Engineer @ Merkle
Aug. 2022 - May 2023

• MLOps Automation: Refined MLOps pipelines on GCP to automate model updates for customer tagging projects, reducing manual workload by 80%.
• Algorithm Improvement: Enhanced collaborative filtering algorithms, resulting in a 5% uplift in sales performance verified through A/B testing.
• Mentorship & Optimization: Mentored two interns to optimize program efficiency, successfully reducing RAM usage and data load time by nearly 50%.