Gautam Shroff
Papers
1
Total Citations
2
H-Index
1
About
Gautam Shroff is a leading researcher at the intersection of artificial intelligence, enterprise automation, and human-computer interaction. His work fundamentally addresses how large language models (LLMs) can bridge the gap between rigid automation frameworks and the adaptive, context-aware decision-making required for complex business processes. Shroff’s most notable contribution is the development of **SmartFlow**, a novel framework for Robotic Process Automation (RPA) that leverages LLMs to interpret diverse screen layouts and execute tasks with human-like reasoning. This work, published in 2024, has already garnered early citations, signaling its potential to reshape enterprise software. Beyond SmartFlow, Shroff’s research explores how AI can move beyond pixel-level encoding and traditional automation tools like Selenium to create more intelligent, flexible systems. His contributions are particularly impactful for industries seeking to automate knowledge work, offering a pathway to systems that can adapt to dynamic environments rather than relying on static rules. With a career dedicated to making AI practical and deployable, Shroff continues to influence both academic research and real-world enterprise solutions.
Research Focus
Key Achievements
Top Papers
- 1SmartFlow: Robotic Process Automation using LLMs2 citations · 2024