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Hai TangHT
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Hai Tang

@haitang

AI/ML Engineer at OpenAI building post-training pipelines for GPT-4.5, GPT-4.1, and GPT-4o.

United States
Message

At OpenAI, I built and led core components of the post-training pipeline used to train GPT-4.5, GPT-4.1, and GPT-4o. I designed an RL framework for LLM post-training, including training-loop components and rollout generation.

I also built modeling infrastructure behind Advanced Voice Mode, working across the audio encoder and decoder pipeline for real-time speech. My work supported multimodal development for GPT-4o and GPT-4o-mini, as well as training infrastructure for GPT-4 Turbo.

At Google, I led large-scale model inference and built production serving infrastructure for Vertex AI, powering ML features in Gmail and Google Docs. I also contributed to T5X, PaxML, Orbax, and TensorFlow DTensor, including foundational distributed training capabilities.

Experience

Work history, roles, and key accomplishments

OpenAI logoOP
Current

Member of Technical Staff

Sep 2023 - Present (3 years)

Built and led core components of the post-training pipeline for GPT-4.5, GPT-4.1, and GPT-4o, including RL-based optimization, rollout generation, and large-scale distributed training. Designed an RL framework for LLM post-training and managed checkpointing/recovery strategies for large-scale runs.

NL

Systems Engineer

NS Solutions Co. Ltd.

Jul 2011 - Jul 2014 (3 years)

Designed enterprise Java/J2EE applications and built ETL pipelines into an Oracle data warehouse integrating operations across India, Brazil, and Japan. Optimized business workflows.

Education

Degrees, certifications, and relevant coursework

Johns Hopkins University logoJU

Johns Hopkins University

Master Degree, Computer Science

2014 - 2016

Master's degree in Computer Science from Johns Hopkins University, completed from 2014 to 2016.

Tongji University logoTU

Tongji University

Bachelor Degree, Computer Science and Technology

2007 - 2011

Bachelor's degree in Computer Science and Technology from Tongji University, completed from 2007 to 2011.

Tech stack

Software and tools used professionally

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