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I’m a data scientist and software/machine learning engineer with a strong background across AI, data processing pipelines, and production-grade systems. From building distributed, high-throughput AI workflows to cleaning and preparing training data for fine-tuning, I focus on making models reliable, efficient, and secure in real deployments. I’ve also contributed to practical products and research—automating reporting and risk controls with Python, developing full-stack applications, and working on NLP and deep learning projects like sentiment analysis and OCR. I enjoy bridging engineering and data science to deliver end-to-end solutions that improve delivery speed, task success rates, and overall operational trust.…I’m a data scientist and software/machine learning engineer with a strong background across AI, data processing pipelines, and production-grade systems. From building distributed, high-throughput AI workflows to cleaning and preparing training data for fine-tuning, I focus on making models reliable, efficient, and secure in real deployments. I’ve also contributed to practical products and research—automating reporting and risk controls with Python, developing full-stack applications, and working on NLP and deep learning projects like sentiment analysis and OCR. I enjoy bridging engineering and data science to deliver end-to-end solutions that improve delivery speed, task success rates, and overall operational trust.

Han Li

Data Scientist, Software Engineer, Data Engineer, +2

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I’m a data scientist and software/machine learning engineer with a strong background across AI, data processing pipelines, and production-grade systems. From building distributed, high-throughput AI workflows to cleaning and preparing training data for fine-tuning, I focus on making models reliable, efficient, and secure in real deployments. I’ve also contributed to practical products and research—automating reporting and risk controls with Python, developing full-stack applications, and working on NLP and deep learning projects like sentiment analysis and OCR. I enjoy bridging engineering and data science to deliver end-to-end solutions that improve delivery speed, task success rates, and overall operational trust.…I’m a data scientist and software/machine learning engineer with a strong background across AI, data processing pipelines, and production-grade systems. From building distributed, high-throughput AI workflows to cleaning and preparing training data for fine-tuning, I focus on making models reliable, efficient, and secure in real deployments. I’ve also contributed to practical products and research—automating reporting and risk controls with Python, developing full-stack applications, and working on NLP and deep learning projects like sentiment analysis and OCR. I enjoy bridging engineering and data science to deliver end-to-end solutions that improve delivery speed, task success rates, and overall operational trust.

Available to hire

I’m a data scientist and software/machine learning engineer with a strong background across AI, data processing pipelines, and production-grade systems. From building distributed, high-throughput AI workflows to cleaning and preparing training data for fine-tuning, I focus on making models reliable, efficient, and secure in real deployments.

I’ve also contributed to practical products and research—automating reporting and risk controls with Python, developing full-stack applications, and working on NLP and deep learning projects like sentiment analysis and OCR. I enjoy bridging engineering and data science to deliver end-to-end solutions that improve delivery speed, task success rates, and overall operational trust.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Language

English

Fluent

German

Intermediate

Work Experience

Development Engineer at China Financial Computerization Group Co., Ltd.

July 1, 2025 - Present

Led construction and distributed deployment of an enterprise-level multi-agent operations and maintenance platform. Designed distributed fine-tuning (SFT) training and data cleaning pipelines using DeepSpeed/Ray, and built a high-throughput distributed inference cluster for LLMs. Developed self-evolving MCP protocol dynamic routing with secure isolation and sandboxing. Implemented an AST+LLM referenced dual-core evaluation engine with end-to-end telemetry to enable closed-loop self-evolution. Reduced tool hallucination rate by ~40%, improved delivery rate for complex tasks, and delivered a reliable AI workflow. Also configured a Ceph-based hyper-converged storage architecture using OpenStack and Kubernetes on Ubuntu.

Development Engineer at China Financial Computization Group Co., Ltd.

July 1, 2025 - Present

Led construction and distributed deployment of an enterprise-level multi-agent operations and maintenance platform. Designed distributed fine-tuning (SFT) training and data cleaning pipelines using DeepSpeed/Ray, and built high-throughput distributed inference clusters for LLMs. Developed self-evolved MCP protocols and secure isolation/boxing to ensure execution security. Built an AST+LLM dual-core evaluation engine and end-to-end telemetry to enable closed-loop self-evolution capabilities, reducing tool illusion rate by ~40% and improving complex task delivery success. Configured Ceph storage with Ubuntu on an OpenStack/Kubernetes environment. Built and maintained an internal private cloud platform using ReactJS and Django, deployed on company work servers to provide cloud resources, products, and services to customers, saving hundreds of thousands of yuan in costs.

Data Scientist Intern at Petro China International Company Limited

August 1, 2024 - January 1, 2025

Automated PowerPoint report generation by converting Excel datasets into professional presentation templates. Built a daily risk control system for energy commodity trading: processed and cleaned complex trading data, built core anomaly detection algorithms, captured and analyzed four types of trading errors, and increased efficiency of identifying potential risks by ~80%. Processed over 500 trades per day.

Data Science Intern at Qingdao OCEAN Universal Foreign Languages Service Co., Ltd.

June 1, 2024 - August 1, 2024

Coordinated backend database administration and frontend technical staff as a project manager to ensure on-time delivery of foreign language services projects. Deployed and fine-tuned the LLaMA2 large language model on a CentOS 7 server to enable intelligent, automated risk control report generation, supporting decision-making for the department. Developed and optimized an English education mobile application: implemented React front-end UI, built Spring Boot backend modules (authentication, vocabulary info, e-book content management), and designed an efficient RESTful API for high-speed data transmission. Resolved 20+ major bugs and improved software stability by ~30%.

Data Science Intern at Petro China International Company Limited

June 1, 2024 - August 1, 2024

Automated Excel-to-PowerPoint report generation using Python, extracting key project information from databases and auto-populating tables within PPT templates to improve efficiency and professionalism. Built an automated risk control system for daily energy commodity trading: processed and cleaned complex trading data, constructed core anomaly detection algorithms, captured and analyzed four types of trading errors, processed over 500 trades per day, and increased risk-identification efficiency by ~80%. Proficient in Python, PostgreSQL, and Hugging Face.

Software Engineer Intern at Qingdao OCEAN Universal Foreign Languages Service Co., Ltd.

March 1, 2021 - August 1, 2021

Built an English education mobile application with React front-end and Spring Boot backend, including authentication, vocabulary information, and e-book content management. Designed REST APIs to support fast data exchange between front-end and back-end. As part of full-stack delivery, fixed 20+ major bugs and improved software stability by ~30%.

Software Engineer Intern / Project Manager at Qingdao Ocean Universal Foreign Languages Services Co., Ltd.

March 1, 2021 - August 1, 2021

Coordinated front-end and back-end delivery as a project manager, coordinating database administrators and technical staff to ensure on-time project release. Developed and fine-tuned LLaMA A2 on a CentOS 7 server to enable intelligent automated risk-control report generation for decision support. Performed full mobile app development and optimization: implemented UI with ReactJS; built a back-end management system using Spring Boot including user authentication, vocabulary info management, and e-book content management; designed efficient REST APIs for high-speed data transfer. Resolved 20+ major bugs and improved software stability by ~30%.