Rushi Chavda

I design and build AI-first workflow automations that turn repetitive, manual processes into intelligent and scalable systems.

My background spans AI engineering, machine learning, GenAI, data science, LLM evaluation, robotics data pipelines, and full-stack AI systems. I have worked on real-world AI projects across healthcare, robotics, enterprise applications, satellite data, and research.

I can help you identify processes that can be automated, design the right AI workflow, connect data and business logic, and build a reliable solution around it. This can include AI-powered assistants, document and data workflows, LLM-based automation, intelligent classification and extraction, recommendation systems, analytics pipelines, and custom AI applications.

My approach is practical: I focus on solving the actual business problem rather than adding AI where it isn't needed. I can take an idea from workflow analysis and architecture through implementation and validation.

With experience at IIT Bombay, IBM Research, Harvard University, EY, Jio, Birlasoft, and AI-focused startups, I bring both research depth and hands-on engineering experience to AI automation projects.