Dan Lee
Your Business, Your Tax, Your Way.
- Role
- Accounting Platform at Ehl.Ai
- Location
- Falls Church, VA, US
- LinkedIn followers
- 500 followers
About Dan Lee
Empowering Minority-Owned Businesses Through Innovation As a technology-driven accounting leader, I’ve dedicated my career to developing solutions that impact underserved communities. At Emerson H. Lee Accounting, I’ve had the privilege of helping small businesses grow, thrive, and overcome systemic challenges. Key Highlights: Expanded our client base by over 100%, serving 700+ businesses since 2012. Pioneered AI-driven tax prep, reducing processing time from 3 days to 2 hours. Developed blockchain and NLP systems to automate financial processes and support resilience during challenging times. Community Impact: My passion lies in empowering minority-owned businesses and providing scalable tools to enhance their recovery, growth, and long-term success. Whether streamlining operations or providing tailored financial advice, my goal is to drive resilience and sustainability in dynamic markets. Leadership Philosophy: I believe in combining innovation with practicality, balancing moderate risk tolerance with stability, and fostering collaboration across technical and business domains. I’m always excited to connect with like-minded professionals and explore new opportunities to leverage technology for more significant impact. Let’s build something extraordinary together!#Innovation #SmallBusinessSupport #AI #Blockchain #Leadership #AccountingTechnology #CommunityImpact
Experience
Accounting Platform
Jan 2019 — Present
Lead one full-stack developer.Created an expert system that uses machine learning natural language processing (NLP) to automate small incremental tasks in accounting.The expert system will perform all functions equal to a human accountant\'s expertise.The expert system provides all staff information to deliver exceptional customer support.
Education
The Johns Hopkins University
Master, Biotechnology
1999 — 1999
University of Maryland
Bachelor, Science-Biology
1989 — 1989
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