Vlad Eidelman, Chief Technology Officer
Professional Overview
Vlad Eidelman is a seasoned technology leader with over a decade of experience in the fields of artificial intelligence, data operations, and research. As the Chief Technology Officer at FiscalNote, he oversees the company's technological vision and strategy, driving innovation and leveraging cutting-edge AI and data solutions to empower organizations worldwide.
Experience Summary
Current Role
As the Chief Technology Officer at FiscalNote, Vlad is responsible for leading the company's technology roadmap and aligning it with the overall business objectives. He also serves as the Chief Scientist and Head of AI Research, where he spearheads the development and implementation of advanced AI models and techniques to solve complex challenges faced by FiscalNote's clients. Under Vlad's leadership, the company has achieved significant advancements in natural language processing, predictive analytics, and decision-support systems.
Career Progression
Prior to his current roles, Vlad held various leadership positions at FiscalNote, including Vice President of Research and Data Operations, and Vice President of Research. In these roles, he was instrumental in building and managing the company's research and data operations teams, driving the development of innovative products and services that have helped FiscalNote establish itself as a leading provider of AI-powered solutions in the government and policy landscape.
Earlier in his career, Vlad gained valuable research experience as a Graduate Research Intern at Raytheon BBN Technologies and a Graduate Research Assistant at the University of Maryland. He also completed a research internship at the Johns Hopkins University Applied Physics Laboratory, where he contributed to cutting-edge projects in the fields of signal processing and sensor fusion.
Academic Background
Vlad holds a Ph.D. in Computer Science from the University of Maryland, where he specialized in machine learning, natural language processing, and decision-making under uncertainty. His graduate research focused on developing advanced algorithms and techniques for the interpretation and analysis of complex, unstructured data.
Areas of Expertise
- Artificial intelligence and machine learning
- Natural language processing and text analytics
- Predictive analytics and decision-support systems
- Data operations and large-scale data management
- Research and innovation in the technology industry
- Strategic leadership and technology roadmap development
Professional Impact
Under Vlad's guidance, FiscalNote has achieved significant milestones in the development and deployment of AI-powered solutions for its clients. He has led the implementation of advanced language models and predictive analytics tools that have enabled organizations to make more informed decisions, enhance their policy and regulatory monitoring capabilities, and drive better business outcomes.
Vlad's contributions extend beyond FiscalNote, as he serves on the advisory boards of several prominent technology companies, including Trustible, Tealbook, BuyNothing, and Enquire AI. In these roles, he provides strategic counsel and technical expertise to help these organizations navigate the evolving technology landscape and capitalize on emerging opportunities.
Conclusion
With his extensive experience in technology leadership, AI research, and data operations, Vlad Eidelman is well-positioned to guide FiscalNote and its clients into the future. His ability to translate complex technological concepts into practical business solutions, coupled with his unwavering commitment to innovation, makes him a valuable asset in the ever-changing world of AI-driven decision-making.
