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Jinda Zhang
Hi there👋, I'm working in ML @ Kinaxis. I am interested in Agentic LLMs, Multimodal LLMs, ML Infra, LLM post-training. Prevsiouly, I was PhD Candidate @ GenAI.
If you're interested in discussing research or would like any advice I might be able to offer, feel free to book a chat here.
Email /
Github
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News
- September 2025: I will be joining Kinaxis as Machine Learning Engineer Intern starting this Fall.
- May 2025: I will be joining Ansys/Synopsys as R&D Engineer Intern starting this Summer.
- Apr 2025: Our paper Towards atypical speech transcription using LLM-based ASR was accepted to Interspeech 25!
- March 2025: I will be joining Human-AI Lab as a Research Intern, working on Human Computer Interaction with VR.
- Jan 2025: Our paper on Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO was accepted to IEEE ICC 25!
- Feb 2024: Our paper on Building LLM-based AI Agents in Social Virtual Reality was accepted to CHI 24!
- October 2023: I will be joining SLangLab as a Research Assistant, working on Speech and NLP.
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Research
I work on Machine Learning, Natural Language Processing.
Multimodal LLM
LLM Agent
- WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph Representation
Yaoyao Qian, Yuanli Wang, Jinda Zhang, Yun Zong, Meixu Chen, Yifan Zeng, Jindan Huang, Danqing Zhang
MTI-LLM @ NeurIPS 2025
- LLM-based Embodied Conversational Agent for Reducing Foreign Language Speaking Anxiety in Social VR
M Pan, P Liu, J Zhang, B Yao, D Wang, M Prpa
CHI 26
- Building LLM-based AI Agents in Social Virtual Reality
Hongyu Wan, Jinda Zhang, Abdulaziz Arif Suria, Bingsheng Yao, Dakuo Wang, Yvonne Coady, Mirjana Prpa
CHI LBW 24 [Paper] [Demo]
- Tech Tales: Digital Storytelling with the Royal BC Museum
D Jacoby, K Smith, N Inbar, C Farr, J Wong, S Khutorna, T Fang, Z Li, J Zhang, and Y Coady
Appy Hour, SIGGRAPH 2025 [Paper]
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Work Experience
- Kinaxis, Software Developer Intern, Machine Learning, 09/2025 - Present
Developed distributed RAG system with Docker/K8s; explored LLM agent personalization and Azure AD authentication.
- Ansys/Synopsys, R&D Engineer Intern, 05/2025 - 08/2025
Optimized distributed HPC benchmark pipelines improving performance by 200%.
- SLangLab, Research Assistant, 10/2023 - 10/2025 (2 years)
Architected distributed LLM-based ASR pipeline with 4x faster training throughput.
- PathOnAI, Researcher, 05/2025 - 09/2025
Built unified web agent evaluation framework supporting 5+ models with Streamlit dashboard.
- Human-AI Lab, Research Assistant, 01/2024 - 04/2024, 03/2025 - 09/2025
Designed MongoDB agent supporting 10K+ interactions and LLM-powered RAG system.
- One Community Global, Software Engineer Intern, 12/2024 - 03/2025
Built dynamic UI modules with React.js/Node.js and implemented 50+ unit tests.
- MOD Squad Lab, Research Assistant, 11/2024 - 03/2025
Conducted RAG evaluation using RAGAs and integrated vLLM achieving 200% speedup.
- UDEVU, Freelance Software Engineer, Summer 2022
Designed 3D web applications using Three.JS; provided SEO consultative support for web optimization.
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Teaching Experience
- Teaching Assistant, Research Capstone, Spring 2025
- Teaching Assistant, Research Capstone, Fall 2024
- Teaching Assistant, Research Capstone, Summer 2024
- Teaching Assistant, Machine Learning, Fall 2023
- Teaching Assistant, Object Oriented Programming, Summer 2023
- Teaching Assistant, Trigonometry, 2019
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Awards
- University of Victoria Graduate Entrance Award, 2025
- UVic Research Fellowship Recipient, 2025
- Khoury SEED Grant Recipient, 2024
- West Coast Research Grant Recipient, 2024
- Khoury Research Apprenticeship, 2024 (Top 1%)
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