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I am an applied AI researcher focused on large language models, computer vision, and robotics. I have hands-on experience fine-tuning LLaMA for code generation and building multimodal pipelines with CLIP and vision–language encoders. I contributed to ECCV 2024-published work on vision–language–action models and enjoy developing Python, PyTorch, and scalable systems for real-world deployments. I’m passionate about turning research into robust, deployable AI systems for autonomous robotics and intelligent software.…I am an applied AI researcher focused on large language models, computer vision, and robotics. I have hands-on experience fine-tuning LLaMA for code generation and building multimodal pipelines with CLIP and vision–language encoders. I contributed to ECCV 2024-published work on vision–language–action models and enjoy developing Python, PyTorch, and scalable systems for real-world deployments. I’m passionate about turning research into robust, deployable AI systems for autonomous robotics and intelligent software.

Ningxi Yang

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am an applied AI researcher focused on large language models, computer vision, and robotics. I have hands-on experience fine-tuning LLaMA for code generation and building multimodal pipelines with CLIP and vision–language encoders. I contributed to ECCV 2024-published work on vision–language–action models and enjoy developing Python, PyTorch, and scalable systems for real-world deployments. I’m passionate about turning research into robust, deployable AI systems for autonomous robotics and intelligent software.…I am an applied AI researcher focused on large language models, computer vision, and robotics. I have hands-on experience fine-tuning LLaMA for code generation and building multimodal pipelines with CLIP and vision–language encoders. I contributed to ECCV 2024-published work on vision–language–action models and enjoy developing Python, PyTorch, and scalable systems for real-world deployments. I’m passionate about turning research into robust, deployable AI systems for autonomous robotics and intelligent software.

Available to hire

I am an applied AI researcher focused on large language models, computer vision, and robotics. I have hands-on experience fine-tuning LLaMA for code generation and building multimodal pipelines with CLIP and vision–language encoders. I contributed to ECCV 2024-published work on vision–language–action models and enjoy developing Python, PyTorch, and scalable systems for real-world deployments. I’m passionate about turning research into robust, deployable AI systems for autonomous robotics and intelligent software.

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Work Experience

Teaching Assistant – Fundamentals of Computer Science 2 at Northeastern University

January 1, 2025 - November 18, 2025

Led weekly lab sessions for 30+ students on Java OOP, algorithms, and debugging. Coordinated with 4+ TAs to ensure consistent grading standards and provided technical support on Piazza, resolving student issues within 24h on average. Built automated grading scripts in Java/Python, streamlining assignment evaluation and reducing manual effort.

Research Assistant — Robotics & AI Systems at Westlake University

May 1, 2024 - May 1, 2024

Built a production-grade code generation pipeline fine-tuned from LLaMA-7B with LoRA adapters and deployed on an industrial inspection robot to enable autonomous workflows. Developed learnable CLIP prompt modules and scalable training/evaluation pipelines to study cross-modal alignment. Engineered Dockerized multi-GPU pipelines for reproducible experiments and accelerated model development. Investigated spatial grounding and relational reasoning in vision–language models for robotic perception and planning tasks.