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I'm Lawrence Li, a self-motivated and analytical software engineer with 3 years of experience in machine learning and large language models (LLMs). I'm proficient in Python and have a strong foundation in algorithms, data structures, and deep learning frameworks such as PyTorch and TensorFlow. I evaluate AI model outputs, develop domain-specific prompts, and work within unit tests, cloud-based environments, and CI/CD pipelines. I thrive on independent research, adaptability, and asynchronous collaboration. I'm passionate about advancing AI capabilities and contributing to cutting-edge model evaluation and training projects.…I'm Lawrence Li, a self-motivated and analytical software engineer with 3 years of experience in machine learning and large language models (LLMs). I'm proficient in Python and have a strong foundation in algorithms, data structures, and deep learning frameworks such as PyTorch and TensorFlow. I evaluate AI model outputs, develop domain-specific prompts, and work within unit tests, cloud-based environments, and CI/CD pipelines. I thrive on independent research, adaptability, and asynchronous collaboration. I'm passionate about advancing AI capabilities and contributing to cutting-edge model evaluation and training projects.

Guangzhao Li

Full Stack Developer, Web Developer, Developer, +2

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I'm Lawrence Li, a self-motivated and analytical software engineer with 3 years of experience in machine learning and large language models (LLMs). I'm proficient in Python and have a strong foundation in algorithms, data structures, and deep learning frameworks such as PyTorch and TensorFlow. I evaluate AI model outputs, develop domain-specific prompts, and work within unit tests, cloud-based environments, and CI/CD pipelines. I thrive on independent research, adaptability, and asynchronous collaboration. I'm passionate about advancing AI capabilities and contributing to cutting-edge model evaluation and training projects.…I'm Lawrence Li, a self-motivated and analytical software engineer with 3 years of experience in machine learning and large language models (LLMs). I'm proficient in Python and have a strong foundation in algorithms, data structures, and deep learning frameworks such as PyTorch and TensorFlow. I evaluate AI model outputs, develop domain-specific prompts, and work within unit tests, cloud-based environments, and CI/CD pipelines. I thrive on independent research, adaptability, and asynchronous collaboration. I'm passionate about advancing AI capabilities and contributing to cutting-edge model evaluation and training projects.

Available to hire

I’m Lawrence Li, a self-motivated and analytical software engineer with 3 years of experience in machine learning and large language models (LLMs). I’m proficient in Python and have a strong foundation in algorithms, data structures, and deep learning frameworks such as PyTorch and TensorFlow. I evaluate AI model outputs, develop domain-specific prompts, and work within unit tests, cloud-based environments, and CI/CD pipelines.

I thrive on independent research, adaptability, and asynchronous collaboration. I’m passionate about advancing AI capabilities and contributing to cutting-edge model evaluation and training projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Algorithm Intern at TURING (Guangzhou) Technology Co., Ltd

July 1, 2025 - October 19, 2025

Dynamically-aware simulator APEX+ that can generate the best optimal parallel execution plan for LLM service. Documented required and output parameters for future industrial landing using Python. Verified LLM outputs against Open Web UI, vLLM, vLLM bench, and Llama-Factory; measured communication and compute operators of H20-96GB GPU using NCCL. Added unit tests (pytest) and managed CI/CD via GitHub Actions. Achievements include obtaining the best parallel execution plan for models such as mixtral8x7b, BLOOM, and Llama3-70b, reducing energy consumption by up to 45% and keeping test errors below 10%, significantly improving GPU testing efficiency.

Algorithm Intern at Beijing DeepGlint Technology Co., Ltd

February 1, 2025 - October 19, 2025

Created datasets and test code using Python and LabelMe for YOLO series training. Completed linear regression training and cat/dog binary classification training, including yolo_v3-master and yolo_v7 training, with average accuracy over 80%. Implemented training visualization using Python.

Full Stack Developer at Chongqing Xunmei Technology Co., Ltd

February 1, 2024 - October 19, 2025

Developed an AI agents platform for company use, including agent construction and debugging, knowledge base construction and configuration, and workflow setup. Backend implemented with Java, Spring Boot, and MySQL; RESTful API; frontend UI with React. Managed CI/CD with GitLab; added unit tests for React components (Jest) and backend controllers (NUnit). Constructed AI agents using Qwen model, including workflows, knowledge bases, and prompt engineering.

Full Stack Developer at TURING (Guangzhou) Technology Co., Ltd

September 1, 2022 - October 19, 2025

Developed the official website of TURING (Guangzhou) Technology Co., Ltd (turing-agi.com). Built with Java, React, Spring Boot, and MySQL; CI/CD via GitHub; cloud hosting on AWS with Tomcat, SSL, CDN, and DNS. Added unit tests for React components (Jest) and backend (NUnit); maintained site content for one year, improving content delivery and reliability.