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I am a PhD in Machine Learning from Durham University with hands-on experience in rule generation, reinforcement learning, NLP, LLM applications, and multi-agent systems. I developed the Strategy Evaluation Rule (SER) framework integrating neural rule generation, simulation, and social-metric evaluation, delivering adaptive and scalable AI solutions. I am proficient in Python, PyTorch, TensorFlow, LangChain, AWS/GCP, and deploying ML pipelines in production environments. I am seeking AI/ML Engineer roles to apply research expertise in building intelligent, efficient, and user-centric AI products. I also hold a 3-year UK PSW visa (valid until 2028).…I am a PhD in Machine Learning from Durham University with hands-on experience in rule generation, reinforcement learning, NLP, LLM applications, and multi-agent systems. I developed the Strategy Evaluation Rule (SER) framework integrating neural rule generation, simulation, and social-metric evaluation, delivering adaptive and scalable AI solutions. I am proficient in Python, PyTorch, TensorFlow, LangChain, AWS/GCP, and deploying ML pipelines in production environments. I am seeking AI/ML Engineer roles to apply research expertise in building intelligent, efficient, and user-centric AI products. I also hold a 3-year UK PSW visa (valid until 2028).

Jiyao Pu

AI Engineer, Game Developer, Web Developer, +2

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I am a PhD in Machine Learning from Durham University with hands-on experience in rule generation, reinforcement learning, NLP, LLM applications, and multi-agent systems. I developed the Strategy Evaluation Rule (SER) framework integrating neural rule generation, simulation, and social-metric evaluation, delivering adaptive and scalable AI solutions. I am proficient in Python, PyTorch, TensorFlow, LangChain, AWS/GCP, and deploying ML pipelines in production environments. I am seeking AI/ML Engineer roles to apply research expertise in building intelligent, efficient, and user-centric AI products. I also hold a 3-year UK PSW visa (valid until 2028).…I am a PhD in Machine Learning from Durham University with hands-on experience in rule generation, reinforcement learning, NLP, LLM applications, and multi-agent systems. I developed the Strategy Evaluation Rule (SER) framework integrating neural rule generation, simulation, and social-metric evaluation, delivering adaptive and scalable AI solutions. I am proficient in Python, PyTorch, TensorFlow, LangChain, AWS/GCP, and deploying ML pipelines in production environments. I am seeking AI/ML Engineer roles to apply research expertise in building intelligent, efficient, and user-centric AI products. I also hold a 3-year UK PSW visa (valid until 2028).

Available to hire

I am a PhD in Machine Learning from Durham University with hands-on experience in rule generation, reinforcement learning, NLP, LLM applications, and multi-agent systems. I developed the Strategy Evaluation Rule (SER) framework integrating neural rule generation, simulation, and social-metric evaluation, delivering adaptive and scalable AI solutions.
I am proficient in Python, PyTorch, TensorFlow, LangChain, AWS/GCP, and deploying ML pipelines in production environments. I am seeking AI/ML Engineer roles to apply research expertise in building intelligent, efficient, and user-centric AI products. I also hold a 3-year UK PSW visa (valid until 2028).

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Chinese

Advanced

Work Experience

Team Lead / AI Developer at MXM (Durham Team)

February 1, 2025 - Present

Architected and implemented a web-platform prototype for MXM’s AI Talent Bench, allowing companies to upload job descriptions and configure training and assessment workflows. Extended the Rule Generation Networks framework to develop a Task Generator that processes job descriptions and datasets for generating parametrised, labelled time-series tasks with justifications. Led the team in prototype development and drafted all AWS competition documentation.

AI Researcher and Developer at Digital Twin Dreamscape Project

December 1, 2023 - August 4, 2025

Developed an integrated control system for real-time video streaming and remote control of a robotic car via web and mobile interfaces. Created a digital twin in Unity to mirror physical car movements and embedded target recognition pipelines with OpenCV. Applied reinforcement learning to train an autonomous control agent for optimized virtual car performance.

Vision System Developer at EyeGaze Smart Wheelchair Project

December 1, 2022 - August 4, 2025

Developed a vision module using camera sensors integrated with an electric wheelchair. Implemented eye-tracking algorithms with OpenCV to analyze gaze data and transform it into control commands. Created a responsive interface connecting sensor input to wheelchair controls, achieving accurate real-time eye movement detection to enhance mobility.

Hardware Control Developer at Laser Beam Combining via LCOPA Control

June 1, 2015 - August 4, 2025

Developed FPGA-based video acquisition hardware system for real-time image capture. Implemented DSP video processing for target recognition. Created LCOPA control modules for precise optical phase adjustments and applied advanced image processing to optimize laser beam combining.

Web Platform Architect and Team Lead at MXM

February 1, 2025 - Present

Architected and implemented a web-platform prototype for MXM’s AI Talent Bench, enabling companies to upload job descriptions and configure training and assessment workflows. Extended the Rule Generation Networks framework to develop a Task Generator which produces parameterised, labelled time-series tasks using seed data like stock and environmental metrics. Led MXM’s Durham team in prototype development and authored AWS competition documentation.

Developer - Digital Twin System and Reinforcement Learning at Digital Twin Dreamscape Project

December 1, 2023 - August 11, 2025

Developed an integrated control system for real-time video streaming and remote control via web and mobile interfaces. Implemented a digital twin in Unity that mirrors physical robotic car movement. Created virtual models with target recognition using OpenCV and trained autonomous control agents via reinforcement learning with real-time feedback.

Developer - EyeGaze Smart Wheelchair at EyeGaze Project

December 1, 2022 - August 11, 2025

Developed a vision module integrated with an electric wheelchair using camera sensors and OpenCV for real-time eye tracking. Created responsive control interfaces translating gaze data into wheelchair movement commands, improving system accuracy with real-time image processing algorithms.

Hardware and Control Systems Developer at Laser Beam Combining Project

June 1, 2015 - August 11, 2025

Developed FPGA-based video acquisition and DSP video processing algorithms for real-time image capture and target recognition. Created LCOPA control modules to precisely adjust optical phases and optimized laser beam combining performance using advanced image processing techniques.

Team Lead, AI Engineer at MXM (Durham Team)

February 1, 2025 - Present

Architected and implemented a web-platform prototype for MXM’s AI Talent Bench, enabling companies to upload job descriptions and configure training and assessment workflows. Extended the Rule Generation Networks framework to develop a Task Generator that produces parametrised, labelled time-series tasks. Led the Durham team in prototype development and drafted all AWS competition documentation.

Researcher and Developer at Digital Twin Dreamscape Project

December 1, 2023 - August 11, 2025

Developed an integrated control system for real-time video streaming and remote control via web/mobile interfaces. Implemented a digital twin in Unity that mirrored physical car movements with synchronized control. Created a proportional virtual robotic arm model and incorporated OpenCV-based target recognition pipelines. Applied reinforcement learning for autonomous virtual car control using real-time feedback.

Developer at EyeGaze Smart Wheelchair Project

December 1, 2022 - August 11, 2025

Developed a vision module integrated with a traditional electric wheelchair to capture real-time eye images. Implemented eye-tracking algorithms with OpenCV to translate gaze data into wheelchair control commands. Created an interface linking visual sensor input and control system for intuitive navigation. Applied real-time image processing techniques to enhance system performance.

Embedded Systems Developer at Laser Beam Combining Project

June 1, 2015 - August 11, 2025

Developed FPGA-based hardware control system for real-time video acquisition. Implemented DSP-based video processing algorithms for target recognition. Created LCOPA control module for precise optical phase adjustments. Applied advanced image processing techniques to optimize laser beam combining performance.

Application Solutions Manager at China Mobile Communications Group Yunnan Co., Ltd., Chuxiong Branch, Enterprise & Government Client Department

March 1, 2019 - September 8, 2025

Managed tender documentation, ensuring accuracy and compliance, which improved submission efficiency. Promoted enterprise digital products (e.g., smart TV set-top boxes) and tailored solutions for government and corporate clients. Coordinated cross-departmental training sessions, strengthening staff adoption of enterprise applications.