Summary
Overview
Work History
Education
Research
Timeline
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Qin Yu

Summary

AI-driven technologist with interdisciplinary expertise in artificial intelligence, neural networks, and integrated circuit (IC) design. Experienced in advancing industries like manufacturing and biology through sophisticated hardware-software integration. Demonstrated ability to create and implement AI models, embedded systems, and neuromorphic computing solutions to streamline industrial workflows, propel biological research, and bridge the gap between AI and ICs.

Overview

3
3
years of professional experience

Work History

AI-Driven Manufacturing Optimization Intern

BYD
Shenzhen, China
01.2024 - 06.2024
  • Directed the incorporation of AI models into manufacturing workflows, refining production processes via machine learning and IoT-enabled predictive maintenance.

Embedded Systems & Human Interaction Intern

DJI
Shenzhen, China
06.2023 - 08.2023
  • Created AI-powered wrist control technology for drones, integrating neural networks directly into microchips to facilitate real-time, adaptive control

AI Model Customization & Public Policy Intern

TikTok
Global
06.2021 - 08.2021
  • Customized AI recommendation models to comply with international regulations, adapting to user behavior patterns across 10+ countries

Education

Master of Engineering in Technology Innovation Management - Artificial Intelligence & Neuromorphic Computing

Carnegie Mellon University
Pittsburgh, PA

Bachelor of Microelectronic Engineering -

Southern University of Science And Technology
Shenzhen

Exchange Student, Computer Science Department -

University of California, Berkeley
Berkeley, CA

Research

  • Neuromorphic Computing for Embedded AI, Researcher, 06/2021 - 05/2023, Created a CNN model for real-time perception and decision-making, directly integrated into NPUs for AI-powered edge devices, AI applications in biology, Applied neuromorphic computing to biological data analysis, achieving a 35% reduction in computational latency and power consumption, Published findings on AI and hardware integration, emphasizing AI's impact on biological data processing and efficiency improvements in edge computing
  • AI for Stock Trading Analysis (NUS), Researcher, 05/2021 - 07/2021, Managed a team developing an AI-based trading analysis chatbot, leveraging NVIDIA-powered AI models to provide real-time trading insights, increasing prediction accuracy by 18%, First Prize, NUS Computing Research Competition

Timeline

AI-Driven Manufacturing Optimization Intern

BYD
01.2024 - 06.2024

Embedded Systems & Human Interaction Intern

DJI
06.2023 - 08.2023

AI Model Customization & Public Policy Intern

TikTok
06.2021 - 08.2021

Master of Engineering in Technology Innovation Management - Artificial Intelligence & Neuromorphic Computing

Carnegie Mellon University

Bachelor of Microelectronic Engineering -

Southern University of Science And Technology

Exchange Student, Computer Science Department -

University of California, Berkeley
Qin Yu