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I’m an AI Engineer with a strong background in machine learning, LLM fine-tuning, AI agents, and full-stack development. I’m currently completing my Master of Engineering in AI at Duke University, where I’ve built end-to-end AI systems including RAG pipelines, multimodal agents, and fine-tuned LLMs for complex reasoning tasks. My previous work includes deploying computer vision workflows, architecting data pipelines, and integrating cloud-based ML systems. I’ve developed full-stack AI solutions using Python, FastAPI, React, Postgres, and AWS, and I have hands-on experience in image analysis through projects involving vision-language models and Raspberry Pi–based data capture systems. My background also includes industry experience at Blue Insurance and Manulife, where I built automation pipelines, data workflows, and ML tools that improved operational efficiency at scale. I stand out for my ability to take an AI project from idea to deployment—designing the model, building the backend, integrating the UI, and ensuring the output meets strict standards. I’m reliable in remote teams, fast to implement, and comfortable working on complex, high-impact technical challenges.…I’m an AI Engineer with a strong background in machine learning, LLM fine-tuning, AI agents, and full-stack development. I’m currently completing my Master of Engineering in AI at Duke University, where I’ve built end-to-end AI systems including RAG pipelines, multimodal agents, and fine-tuned LLMs for complex reasoning tasks. My previous work includes deploying computer vision workflows, architecting data pipelines, and integrating cloud-based ML systems. I’ve developed full-stack AI solutions using Python, FastAPI, React, Postgres, and AWS, and I have hands-on experience in image analysis through projects involving vision-language models and Raspberry Pi–based data capture systems. My background also includes industry experience at Blue Insurance and Manulife, where I built automation pipelines, data workflows, and ML tools that improved operational efficiency at scale. I stand out for my ability to take an AI project from idea to deployment—designing the model, building the backend, integrating the UI, and ensuring the output meets strict standards. I’m reliable in remote teams, fast to implement, and comfortable working on complex, high-impact technical challenges.

Haochen Li

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

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I’m an AI Engineer with a strong background in machine learning, LLM fine-tuning, AI agents, and full-stack development. I’m currently completing my Master of Engineering in AI at Duke University, where I’ve built end-to-end AI systems including RAG pipelines, multimodal agents, and fine-tuned LLMs for complex reasoning tasks. My previous work includes deploying computer vision workflows, architecting data pipelines, and integrating cloud-based ML systems. I’ve developed full-stack AI solutions using Python, FastAPI, React, Postgres, and AWS, and I have hands-on experience in image analysis through projects involving vision-language models and Raspberry Pi–based data capture systems. My background also includes industry experience at Blue Insurance and Manulife, where I built automation pipelines, data workflows, and ML tools that improved operational efficiency at scale. I stand out for my ability to take an AI project from idea to deployment—designing the model, building the backend, integrating the UI, and ensuring the output meets strict standards. I’m reliable in remote teams, fast to implement, and comfortable working on complex, high-impact technical challenges.…I’m an AI Engineer with a strong background in machine learning, LLM fine-tuning, AI agents, and full-stack development. I’m currently completing my Master of Engineering in AI at Duke University, where I’ve built end-to-end AI systems including RAG pipelines, multimodal agents, and fine-tuned LLMs for complex reasoning tasks. My previous work includes deploying computer vision workflows, architecting data pipelines, and integrating cloud-based ML systems. I’ve developed full-stack AI solutions using Python, FastAPI, React, Postgres, and AWS, and I have hands-on experience in image analysis through projects involving vision-language models and Raspberry Pi–based data capture systems. My background also includes industry experience at Blue Insurance and Manulife, where I built automation pipelines, data workflows, and ML tools that improved operational efficiency at scale. I stand out for my ability to take an AI project from idea to deployment—designing the model, building the backend, integrating the UI, and ensuring the output meets strict standards. I’m reliable in remote teams, fast to implement, and comfortable working on complex, high-impact technical challenges.

Available to hire

I’m an AI Engineer with a strong background in machine learning, LLM fine-tuning, AI agents, and full-stack development. I’m currently completing my Master of Engineering in AI at Duke University, where I’ve built end-to-end AI systems including RAG pipelines, multimodal agents, and fine-tuned LLMs for complex reasoning tasks. My previous work includes deploying computer vision workflows, architecting data pipelines, and integrating cloud-based ML systems.

I’ve developed full-stack AI solutions using Python, FastAPI, React, Postgres, and AWS, and I have hands-on experience in image analysis through projects involving vision-language models and Raspberry Pi–based data capture systems. My background also includes industry experience at Blue Insurance and Manulife, where I built automation pipelines, data workflows, and ML tools that improved operational efficiency at scale.

I stand out for my ability to take an AI project from idea to deployment—designing the model, building the backend, integrating the UI, and ensuring the output meets strict standards. I’m reliable in remote teams, fast to implement, and comfortable working on complex, high-impact technical challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Machine Learning Engineer Intern at Blue Insurance

June 1, 2023 - June 1, 2023

Engineered a Python web scraping pipeline to collect and clean bond yield data, creating a reliable dataset for time-series forecasting models and reducing data collection time by 80%. Developed a custom Python tool using a binomial-tree algorithm to translate and validate complex financial models, enabling 50% faster parallel replication of a core risk algorithm. Built data automation scripts to preprocess and structure raw data for machine learning inputs, improving valuation and reporting workflows.

Machine Learning Engineer Intern at Manulife Financial

January 1, 2022 - January 1, 2022

Designed and deployed a Python automation pipeline for tracking COVID-19 severity, processing web data to generate structured datasets for predictive analysis and improving data availability tenfold. Analyzed product performance and risk data across multiple business units to identify key features and trends, presenting data-driven insights to inform risk management strategies.