Join Date
January 2026
Gender
Not Specified
Age
Not Specified
About Vaibhav Gupta
Vaibhav is a software engineer with over 7 years of experience building innovative products. At Microsoft, he worked on realtime 3D reconstruction for HoloLens, gaining expertise in computer vision and 3D graphics. At Google, he led performance optimization on ARCore and Face ID, significantly improving latency and quality. Now he's bringing that same experience to help bring better quality and speed to Generative AI technology. For talking anything Computer Vision/AI/Performance, reach out!
Companies & Work

Boundary
Boundary is building BAML -- a programming language to build AI agents.
We used to code in assembly, and moved on to C.
From C, we moved on to higher level languages like Python.
Now we are going from Python to natural language.
What does the code look like when 50% of the business decisions is decided by an AI agent / prompts? How do you test these AI components? We made BAML to address these problems.
BAML helps has built-in tools to test, observe, and work with structured LLM outputs / tool calling natively in the language 10x faster. With BAML you can also instantly parallelize LLM Calls, or react to certain events or changes in your pipelines, without having to write any boilerplate. It's like using 'React' for AI.
BAML code can used from any other language -- providing a standardized way to organize and declare any LLM or AI code.
We used to code in assembly, and moved on to C.
From C, we moved on to higher level languages like Python.
Now we are going from Python to natural language.
What does the code look like when 50% of the business decisions is decided by an AI agent / prompts? How do you test these AI components? We made BAML to address these problems.
BAML helps has built-in tools to test, observe, and work with structured LLM outputs / tool calling natively in the language 10x faster. With BAML you can also instantly parallelize LLM Calls, or react to certain events or changes in your pipelines, without having to write any boilerplate. It's like using 'React' for AI.
BAML code can used from any other language -- providing a standardized way to organize and declare any LLM or AI code.






