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Data scientist and software engineer with a strong background in AI/ML, deep learning, and distributed systems. Built high-throughput LLM and multi-agent platforms, designed secure execution/isolation mechanisms, and developed end-to-end telemetry and evaluation loops to improve reliability. Previously automated reporting and risk-control pipelines for trading data, improving detection efficiency significantly. Experienced across full-stack development (React/Java/Spring), cloud infrastructure (Kubernetes/OpenStack), and applied NLP/CV projects from model fine-tuning to production deployment.…Data scientist and software engineer with a strong background in AI/ML, deep learning, and distributed systems. Built high-throughput LLM and multi-agent platforms, designed secure execution/isolation mechanisms, and developed end-to-end telemetry and evaluation loops to improve reliability. Previously automated reporting and risk-control pipelines for trading data, improving detection efficiency significantly. Experienced across full-stack development (React/Java/Spring), cloud infrastructure (Kubernetes/OpenStack), and applied NLP/CV projects from model fine-tuning to production deployment.

Han Li

Data Scientist, Software Engineer, Data Engineer, +1

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Data scientist and software engineer with a strong background in AI/ML, deep learning, and distributed systems. Built high-throughput LLM and multi-agent platforms, designed secure execution/isolation mechanisms, and developed end-to-end telemetry and evaluation loops to improve reliability. Previously automated reporting and risk-control pipelines for trading data, improving detection efficiency significantly. Experienced across full-stack development (React/Java/Spring), cloud infrastructure (Kubernetes/OpenStack), and applied NLP/CV projects from model fine-tuning to production deployment.…Data scientist and software engineer with a strong background in AI/ML, deep learning, and distributed systems. Built high-throughput LLM and multi-agent platforms, designed secure execution/isolation mechanisms, and developed end-to-end telemetry and evaluation loops to improve reliability. Previously automated reporting and risk-control pipelines for trading data, improving detection efficiency significantly. Experienced across full-stack development (React/Java/Spring), cloud infrastructure (Kubernetes/OpenStack), and applied NLP/CV projects from model fine-tuning to production deployment.

Available to hire

Data scientist and software engineer with a strong background in AI/ML, deep learning, and distributed systems. Built high-throughput LLM and multi-agent platforms, designed secure execution/isolation mechanisms, and developed end-to-end telemetry and evaluation loops to improve reliability.

Previously automated reporting and risk-control pipelines for trading data, improving detection efficiency significantly. Experienced across full-stack development (React/Java/Spring), cloud infrastructure (Kubernetes/OpenStack), and applied NLP/CV projects from model fine-tuning to production deployment.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

German

Intermediate

Work Experience

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 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 / 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%.