Daniel Chen
Senior Data Scientist | Machine Learning Engineer
Innovative AI specialist with expertise in Retrieval Augmented Generation (RAG), large language models, and semantic search. Building production-ready generative AI systems that drive business value.
Featured Projects
About Me
Innovative Data Scientist and Machine Learning Engineer with 5+ years of experience designing and implementing AI-driven solutions. Expert in Retrieval Augmented Generation (RAG), large language models, and semantic search with a proven track record of deploying production-ready generative AI systems.
Extensive experience in fine-tuning LLMs, designing vector search implementations, and building end-to-end data pipelines that drive business value. Strong background in data engineering, model development, and cross-functional leadership with experience mentoring technical teams and translating complex technical concepts for diverse stakeholders.
AI Expertise
Specialized in RAG systems, LLM fine-tuning, and semantic search implementations
Data Engineering
Building robust data pipelines and ETL processes for enterprise-scale applications
Analytics Leadership
Driving data-informed decisions through advanced analytics and visualization
Professional Experience
- Developing ETL processes for medical claims data ingestion with advanced validation protocols
- Implementing full stack web applications utilizing Node.js, React, and PostgreSQL
- Designing integrated solutions that interface with ERP, CRM, and Data Lake systems
- Creating intuitive navigation systems and dynamic dashboard interfaces
- Reduced analytics request backlog by 75% through implementation of PowerBI self-service dashboards
- Developed and deployed machine learning models that identified and eliminated 95% of false positives
- Mentored two interns to create fully integrated ML systems for medical claims processing
- Led enterprise-wide analytics initiatives that directly contributed to $500k+ in operational savings
- Pioneered fine-tuning of large language models for biomedical text generation
- Created containerized LLM pipeline using Docker and Kubernetes
- Implemented knowledge graph-enhanced RAG system for biomedical research
- Built custom prompt tuning system for domain-specific queries
- Developed comprehensive reporting and visualization frameworks ensuring 100% compliance
- Orchestrated implementation of integrated CRM and ERP solutions across departments
- Designed and implemented end-to-end customer satisfaction data collection pipeline
- Created executive-level data visualizations transforming quarterly reporting