ZIMU ZHAO

Artificial Intelligence Electronics Intern at Nestlé

Designed and developed a multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of 3 AI agents with inter-agent communication protocols to optimize recommendation tasks. Built a chatbot leveraging LLMs, retrieval-augmented generation (RAG), knowledge graphs, and guardrails to enhance interaction and personalization. Migrated from LangChain-based architecture to a customized framework integrating knowledge graphs and state-of-the-art AI techniques, improving system performance and robustness.

AI Lab Intern at FUTONG Technology Co. Ltd.

Foodshot: a deep learning-based intelligent system for food recognition. Developed and deployed YOLO model for real-time recognition. Implemented algorithm design and system architecture using Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).

AI Lab Intern at FUTONG Technology Co. Ltd.

An artificial intelligence-based counseling system for parents of children with autism. Conducted system analysis and design for AI-driven recommendation systems.

Artificial Intelligence Electronics Intern at Nestlé

Designed and developed an innovative multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of three AI agents with inter-agent communication protocols to optimize recommendation tasks. Implemented a chatbot structure leveraging LLMs, retrieval-augmented generation (RAG), knowledge graphs, and guardrails to enhance user interaction and personalization. Iteratively refined the product architecture from a LangChain-based approach to a customized framework, improving performance, robustness, and usability.

AI Intern at FUTONG Technology Co. Ltd.

Foodshot: A deep learning-based intelligent system for food recognition. Developed and deployed a real-time YOLO-based food recognition model; designed system architecture using Python, OpenCV, and DL frameworks (TensorFlow, PyTorch).

AI Intern at FUTONG Technology Co. Ltd.

An artificial intelligence-based counseling system for parents of children with autism. Conducted system analysis and design for AI-driven recommendation systems.

Artificial Intelligence Electronics Intern at Nestlé

Designed and developed a multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of three AI agents to optimize recommendation tasks with inter-agent communication. Built a chatbot using LLM, RAG, knowledge graphs, and guardrails to enhance interaction and personalization. Transitioned from a LangChain-based architecture to a customized framework integrating knowledge graphs and state-of-the-art AI techniques. Optimized system performance and robustness through agent collaboration, earning high stakeholder recognition for effectiveness and usability.

AI Lab Intern at FUTONG Technology Co. Ltd.

Foodshot: a deep learning-based intelligent system for food recognition. Developed and deployed a real-time YOLO-based food recognition model. Implemented algorithm design and system architecture using Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).

AI Lab Intern at FUTONG Technology Co. Ltd.

An artificial intelligence-based counseling system for parents of children with autism. Conducted system analysis and design for AI-driven recommendation systems.

Artificial Intelligence Electronics Intern at Nestlé

Designed and developed Digital Barista: built a multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of three AI agents with inter-agent communication protocols to optimize recommendation tasks. Implemented a chatbot structure leveraging LLMs, RAG, knowledge graphs, and guardrails to enhance interaction and personalization. Transitioned from a LangChain-based architecture to a customized framework integrating knowledge graphs and state-of-the-art AI techniques. Improved system performance and robustness through agent collaboration, achieving strong stakeholder recognition.

AI Lab Intern at FUTONG Technology Co. Ltd.

Foodshot: developed and deployed YOLO model for real-time food recognition; designed algorithm and system architecture using Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).

AI Lab Intern at FUTONG Technology Co. Ltd.

An artificial intelligence-based counseling system for parents of children with autism; conducted system analysis and design for AI-driven recommendation systems.

Artificial Intelligence Electronics Intern at Nestlé

Designed and developed a multi-agent chatbot framework for personalized customer recommendations, enabling autonomous agent collaboration, LLM/RAG/knowledge graphs, and guardrails to improve interaction and personalization. Transitioned from a LangChain-based architecture to a custom framework and optimized performance and robustness; received strong stakeholder recognition for effectiveness and usability.

AI Lab Researcher at FUTONG Technology Co. Ltd.

Foodshot: a deep learning-based intelligent system for real-time food recognition using YOLO. Implemented design and system architecture with Python, OpenCV, and PyTorch/TensorFlow; deployed and evaluated performance.

AI Systems Analyst at FUTONG Technology Co. Ltd. (AI Lab)

An artificial intelligence-based counseling system for parents of children with autism; conducted system analysis and design for AI-driven recommendations.

Artificial Intelligence Electronics Intern at Nestlé

Artificial Intelligence Electronics Intern. Digital Barista: Designed and developed an innovative multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of 3 AI agents coordinating to optimize recommendation tasks, enabling autonomous decision-making and inter-agent communication protocols. Implemented a chatbot structure integrating LLMs, retrieval augmented generation (RAG), knowledge graphs, and guardrails to enhance user interaction and personalization. Iteratively refined the product architecture from LangChain-based design to a customized framework, improving performance, robustness, and user experience.

AI Lab Intern at FUTONG Technology Co. Ltd.

Foodshot: A deep learning-based intelligent system for food recognition. Developed and deployed YOLO-based real-time food recognition; designed system architecture using Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).

AI Lab Intern at FUTONG Technology Co. Ltd.

An artificial intelligence-based counseling system for parents of children with autism. Conducted system analysis and design for AI-driven recommendation systems.

Artificial Intelligence Electronics Intern at Nestlé

Digital Barista: Designed and developed an innovative multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of 3 AI agents working together to optimize recommendation tasks, demonstrating autonomous decision-making and inter-agent communication protocols. Designed a novel chatbot structure leveraging LLM, RAG, knowledge graphs, and guardrails to enhance user interaction and personalization. Iteratively refined the product model, transitioning from an initial LangChain-based architecture to a customized framework integrating knowledge graphs and state-of-the-art AI techniques. Successfully optimized system performance and robustness through agent collaboration and received high recognition from stakeholders for effectiveness and usability.

AI Engineer at FUTONG Technology Co. Ltd.

Foodshot: A deep learning-based intelligent system for food recognition. Developed and deployed YOLO model for real-time food recognition. Implemented algorithm design and system architecture using Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).

AI Intern at FUTONG Technology Co. Ltd.

An artificial intelligence-based counseling system for parents of children with autism. Conducted system analysis and design for AI-driven recommendation systems.

Artificial Intelligence Electronics Intern at Nestlé

Digital Barista: Designed and developed an innovative multi-agent chatbot framework for personalized customer recommendations. Architected a collaborative system of 3 AI agents with inter-agent communication protocols. Designed a chatbot structure leveraging LLM, RAG, knowledge graphs, and guardrails to enhance user interaction and personalization. Iteratively refined the product model, transitioning from LangChain-based architecture to a customized framework integrating knowledge graphs and state-of-the-art AI techniques. Optimized system performance and robustness through agent collaboration; recognized by stakeholders for effectiveness and usability.

AI Lab Intern at FUTONG Technology Co. Ltd. (AI LAB)

Foodshot: Developed deep learning-based intelligent system for real-time food recognition. Implemented YOLO model for real-time recognition; designed system architecture using Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).