Published:
During the fall of 2024, I developed a project to bring the power of AI to small and medium-sized businesses (SMBs) by creating custom, retrieval-augmented generation (RAG) chatbots for their websites. The goal was to provide customers with instant, context-aware answers to their questions based on the business’s own data.
Published:
In the winter of 2025, I developed Axite AI, a Python-based software agent designed to validate simulated robotics environments against real-world sensor data. The core of the project was to create a seamless workflow for logging, synchronizing, and analyzing sensor streams for sim-to-real differential analysis.
Published:
During the fall of 2024, I developed a project to bring the power of AI to small and medium-sized businesses (SMBs) by creating custom, retrieval-augmented generation (RAG) chatbots for their websites. The goal was to provide customers with instant, context-aware answers to their questions based on the business’s own data.
Published:
During the fall of 2024, I developed a project to bring the power of AI to small and medium-sized businesses (SMBs) by creating custom, retrieval-augmented generation (RAG) chatbots for their websites. The goal was to provide customers with instant, context-aware answers to their questions based on the business’s own data.
Published:
During the fall of 2024, I developed a project to bring the power of AI to small and medium-sized businesses (SMBs) by creating custom, retrieval-augmented generation (RAG) chatbots for their websites. The goal was to provide customers with instant, context-aware answers to their questions based on the business’s own data.
Published:
In the winter of 2025, I developed Axite AI, a Python-based software agent designed to validate simulated robotics environments against real-world sensor data. The core of the project was to create a seamless workflow for logging, synchronizing, and analyzing sensor streams for sim-to-real differential analysis.
Published:
During the fall of 2024, I developed a project to bring the power of AI to small and medium-sized businesses (SMBs) by creating custom, retrieval-augmented generation (RAG) chatbots for their websites. The goal was to provide customers with instant, context-aware answers to their questions based on the business’s own data.
Published:
In the winter of 2025, I developed Axite AI, a Python-based software agent designed to validate simulated robotics environments against real-world sensor data. The core of the project was to create a seamless workflow for logging, synchronizing, and analyzing sensor streams for sim-to-real differential analysis.
Published:
In the winter of 2025, I developed Axite AI, a Python-based software agent designed to validate simulated robotics environments against real-world sensor data. The core of the project was to create a seamless workflow for logging, synchronizing, and analyzing sensor streams for sim-to-real differential analysis.
Published:
In the winter of 2025, I developed Axite AI, a Python-based software agent designed to validate simulated robotics environments against real-world sensor data. The core of the project was to create a seamless workflow for logging, synchronizing, and analyzing sensor streams for sim-to-real differential analysis.
Published:
In the winter of 2025, I developed Axite AI, a Python-based software agent designed to validate simulated robotics environments against real-world sensor data. The core of the project was to create a seamless workflow for logging, synchronizing, and analyzing sensor streams for sim-to-real differential analysis.
Published:
During the fall of 2024, I developed a project to bring the power of AI to small and medium-sized businesses (SMBs) by creating custom, retrieval-augmented generation (RAG) chatbots for their websites. The goal was to provide customers with instant, context-aware answers to their questions based on the business’s own data.