Open to opportunities

Qi Chen

@qichen

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Independent developer and AI researcher with a strong algorithm background.

China

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful projects and contribute to a forward-thinking team.

I am an independent developer and AI researcher with a robust background in algorithm engineering and data science. My journey began with a BSc in Applied Physics and continued with an MSc in Data Science from the University of Bath, where I graduated with Merit. I have worked with leading companies such as Ping An Technology and Tesla, where I honed my skills in developing advanced AI systems and data engineering solutions.

Throughout my career, I have successfully engineered production-level systems, including an insurance dialogue system at Ping An Technology and NLP models at Leqee that achieved 96% accuracy in sentiment analysis. My passion for innovation is reflected in my contributions to the open-source community, where I have developed fine-tuned Large Language Models and full-stack AI applications. I am committed to pushing the boundaries of AI technology while actively engaging in knowledge sharing and community development.

Experience

Work history, roles, and key accomplishments

Current

Independent Developer & AI Researcher

Current

Independent

Jan 2023 - Present (2 years 6 months)

Developed and released fine-tuned Large Language Models on Hugging Face, focusing on specialized domains, which have collectively received over 1,000 downloads. Engineered a full-stack AI project: Deep Research Agent with Model Context Protocol (MCP) servers, demonstrating skills in Python, uv, and deployment.

Large Language Models Python Deep Research Agent Hugging Face iOS Development Machine Learning Computer Vision Open Source Contributions

Senior Algorithm Engineer

Ping An Technology

Feb 2022 - Present (3 years 5 months)

Engineered a production-level insurance dialogue system to streamline customer service, utilizing a BERT-based model for high-accuracy intent recognition and a fine-tuned GPT model for context-aware response generation. Spearheaded and authored 2 successful patent applications: 'An Interactive Response System Based on Intent Recognition' and 'Automatic Data Extraction and Storage System'.

BERT GPT Dialogue Systems Patents LLMs)

Associate Data Engineer

Tesla

Oct 2021 - Present (3 years 9 months)

Analyzed, designed, developed, and delivered Enterprise Data Warehouse solutions for Tesla’s Sales, Delivery, Finance, and Insurance teams. Responsible for ETL pipeline maintenance and Tesla BI platform support with Python and BI tools.

Data Warehouse ETL BI Tools Python Data Analysis Data Design Data Delivery

Data Engineer

Leqee

Aug 2020 - Present (4 years 11 months)

Developed and deployed NLP models to analyze customer feedback, achieving 96% accuracy in sentiment analysis and topic classification, directly informing marketing strategies for targeted consumer groups. Designed and optimized end-to-end multi-classification and multi-task models with NLP algorithms, including traditional methods (TF-IDF, Word2Vec, LDA) and deep learning models (BiLSTM, BERT).

Bi LSTM NLP Topic Classification TF IDF Word2Vec LDA BiLSTM BERT Data Labeling

Education

Degrees, certifications, and relevant coursework

University of Bath

Master of Science, Data Science

Grade: Merit

Activities and societies: Thesis: Classifying deep features in an urban environment

Achieved a Merit classification in Data Science. Completed a thesis on classifying deep features in an urban environment. Coursework included Machine Learning, Reinforcement Learning, Deep Learning, and Software Technologies for Data Science.

Tokyo Institute of Technology

Unknown, Physics

Activities and societies: Courses: Quantum physics, Electromagnetism, mathematical physics methods, complex function theory.

Undertook coursework in Quantum Physics, Electromagnetism, Mathematical Physics Methods, and Complex Function Theory.

China Jiliang University

Bachelor of Science, Applied Physics

Activities and societies: Thesis: The Method and Application of Monte Carlo

Completed a Bachelor of Science in Applied Physics. Thesis focused on the method and application of Monte Carlo. Relevant coursework included Advanced Mathematics, Mathematical Methods in Physics, Probability Theory and Statistics, and Error Theory.