Minghao Ye - Software Engineer at TikTok

Minghao Ye

Software Engineer at TikTok

San Jose, California, United States

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Summary

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Senior

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Top School

Minghao Ye is a software engineer at TikTok/ByteDance specializing in intelligent traffic scheduling for a global multi-cloud CDN, designing scalable, QoS-aware systems that deliver VoD at massive scale. He holds a Ph.D. in Electrical Engineering from NYU (2024) where his research applied machine learning to traffic engineering, producing 18 papers with 500+ citations and earning the Best Ph.D. Dissertation Award. Minghao blends rigorous research—mentoring over 20 MS students and teaching graduate networking courses—with hands-on production engineering, having built dynamic traffic-steering, observability pipelines, and automated CI/CD workflows for global deployments. He also interned on SmartNIC/DPU features and has practical experience across cloud providers and SDN, enabling cost-efficient, resilient routing across heterogeneous edge infrastructures. Known for moving ML-driven TE ideas into production, he combines deep academic insight with operational on-call experience and clear technical communication.

8 years of coding experience

6 years of employment as a software developer

Bachelor of Engineering - BE, Electronic Engineering, Bachelor of Engineering - BE, Electronic Engineering at The Hong Kong Polytechnic University

Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at New York University

Bachelor of Engineering - BE, Microelectronic Science and Engineering, Bachelor of Engineering - BE, Microelectronic Science and Engineering at Sun Yat-sen University

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (5)

traffic5

overhead4

reinforcement-learning3

sdn2

deep-reinforcement-learning2

Programming languages (2)

HTMLPython

Github contributions (5)

Terrakagari/LBP-for-Aging-Face-Recognition

Dec 2017 - Dec 2021

Contributions:10 pushes, 1 branch in 4 years 1 month

Terrakagari/CFR-RL

Oct 2020 - Dec 2021

CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

Contributions:5 pushes in 1 year 2 months

traffic-engineeringreinforcement-learningdeep-reinforcement-learningsdnengineering

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