Yining Mao

Software Engineer

Mountain View, California, United States3 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building multimodal AI agents.
Developed innovative Generative Emoji feature at Apple.
Strong academic background from Stanford University.

Stackforce AI infers this person is a skilled Software Engineer specializing in AI and Machine Learning technologies.

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Skills

Core Skills

Machine LearningAi AgentsGenerative AiText-to-image Generation

Other Skills

Adobe IllustratorAdobe LightroomAdobe PhotoshopArtificial Intelligence (AI)C (Programming Language)JavaLarge Language Models (LLM)MATLABMySQLOpenCVOpenGLPowerliftingPyTorchPython (Programming Language)TensorFlow

About

Software Engineer at Orby AI in the foundation models team, focusing on building multimodal AI agents and advancing model training. Graduated with an MS in Electrical Engineering from Stanford University and a BE in Computer Science from Zhejiang University. A competitive powerlifter outside of work.

Experience

Uniphore

Software Engineer / AI

Aug 2025 – Present · 7 mos · Palo Alto, California, United States · On-site

Designing and implementing AI agents and agentic workflows that enhance enterprise-level automation across Uniphore’s business AI platform.

Machine LearningLarge Language Models (LLM)AI Agents

Orby ai - a uniphore company

Software Engineer / AI

Jun 2024 – Aug 2025 · 1 yr 2 mos · Mountain View, California, United States · On-site

Foundation models, MLLM, AI agent

Machine Learning

Apple

Machine Learning Intern

Jun 2023 – Sep 2023 · 3 mos · Cupertino, California, United States · On-site

Built an RLHF pipeline to incorporate human feedback into text-to-image diffusion models, supporting the development of the Generative Emoji feature.

Machine LearningGenerative AIArtificial Intelligence (AI)Text-to-Image Generation

National university of singapore

Summer Research Intern

Jul 2021 – Nov 2021 · 4 mos · Remote

Worked on image style transfer with GNNs (paper 'Learning Graph Neural Network for Image Style Transfer' accepted by ECCV‘2022), collaborating with Ph.D. candidate Yongcheng Jing, advised by Prof. Xinchao Wang at National University of Singapore.