Ruiqi Tan
I’m Ruiqi Tan, an AI/ML engineer focused on LLM integration, model fine-tuning, and production deployment of intelligent systems.
About
I’m Ruiqi Tan, an AI/ML engineer focused on LLM integration, model fine-tuning, and production deployment of intelligent systems. I build scalable AI-powered SaaS platforms with FastAPI, implement RAG architectures, and deploy models on cloud infrastructure. I bring strong MLOps discipline to ML lifecycle management and am AWS Certified AI Practitioner. In my work, I enjoy turning complex ML ideas into reliable software products that deliver real value for customers.
I have led end-to-end projects across AI automation, data services, and governance domains, from data pipelines and model training to CI/CD and compliance automation. I thrive in cross-functional teams and love designing pragmatic architectures that balance performance, reliability, and security for production systems.
- Joined May 2025
Skills· 13
Languages
- EnglishFluent
- GermanIntermediate
- ChineseIntermediate
- FrenchIntermediate
Industry experience
- Software & Internet
- Professional Services
- Financial Services
- Education
- Government
- Healthcare
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Work experience· 8 roles
Standardized CI/CD pipelines (GitLab CI, Kaniko, Keeper Secrets Manager). Contributed to FAIR data exchange infrastructure across Luxembourg clinic institutions. Deployed KASM in federated environments (GCORE, EBRC, DEEP) under GDPR/DORA compliance. Contributed to Health Data Access Body (HDAB) and Vocabulary Server MVP for FAIR data exchange.
Standardized CI/CD pipelines using GitLab CI, Kaniko, and Keeper Secrets Manager across federated cloud environments; implemented infrastructure automation improving deployment consistency. Implemented automated monitoring and backup (KumaUP, Zabbix, Restic) leading to 40% faster incident response. Deployed KASM in federated environments (GCORE, EBRC, DEEP) under GDPR/DORA compliance.
Architected and deployed production LLM pipelines integrating vision API and mixed PyMuPDF for accurate document extraction for toValue SaaS; Fine-tuned Mistral-7B-Instruct using LoRA/PEFT; Engineered hybrid embeddings for model identifiers for JobMatchAnalyzer; Orchestrated N8N pipeline with LangGraph-wrapped tool calling for content marketing agent.
Education· 12
Qualifications and awards· 15
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