Ziming C.

Algorithm Intern @ China Unicom

About

As an Electrical Engineering MS candidate at Columbia University, I am passionate about leveraging cutting-edge AI and Machine Learning to build intelligent systems. With a strong foundation in deep learning, computer vision, and robotics, I've developed solutions for autonomous driving simulation, data screen recognition, and competitive robotics. My experience spans algorithm development, software architecture, and optimizing complex systems. I am eager to apply my technical skills and interdisciplinary background to challenging roles in AI/ML engineering, robotics, or autonomous systems, aiming to contribute to innovative projects that push the boundaries of technology.

Country

United States

City

New York

Industry

Computer Software

Skill

Python (Programming Language), C++, Quantum Computing, CUDA, Object Detection, Neural Networks

Experience

Algorithm Intern

China Unicom

2024-6 - 2024-8 · 3 mos

Guangzhou, Guangdong, China

Engineered and deployed a Computer Vision pipeline for real-time data screen component recognition, achieving an average processing speed of 1.5 seconds per image utilizing YOLO for object localization and Blip2 embeddings for robust image classification. Conducted in-depth research and performance evaluation of LLM capabilities, specifically focusing on advanced tool-calling functionalities within the ModelScope AI framework.

Automated Driving Data Platform Development Intern

GAC R&D

2024-1 - 2024-2 · 2 mos

Guangzhou, Guangdong, China

Replicated seminal TransFuser algorithm within CARLA simulator. Facilitated migration of autonomous driving simulation environment from VTD to CARLA, implemented data adapters for UTM to BEV coordinate transform and HD-Map ingestion.