Projects

Training in programming, data science, data-driven engineering, and machine learning can provide individuals with the skills and knowledge necessary to thrive in today's technology-driven world. Programming training can teach individuals how to code and build software applications, while data science training can provide the skills necessary to analyze and interpret complex data sets. Data-driven engineering training can teach individuals how to design and build systems that are driven by data, while machine learning training can enable individuals to develop intelligent systems that can learn and adapt on their own. With the right training and practical hands-on experience, individuals can accelerate their learning and become valuable assets to organizations looking to leverage data and technology to achieve their goals.

ECHOES (Expert Chatbot for Helping Operator and Engineer Success) is a chatbot that has been designed for operations and automation professionals. It has been trained using tailored industry domain knowledge to enhance knowledge retention and improve the effectiveness of operators, instrument engineers, control engineers, systems engineers, and Advanced Process Control (APC) groups. ECHOES offers relevant information and insights to optimize decision-making processes and provides organizational knowledge retention for automation professionals.

uTerra is an underground construction project management app and database that aims to streamline the process for contractors, by providing faster permitting, horizontal directional drilling expert advising, red-lines, and completion approvals. The app's features help to optimize construction operations, resulting in accelerated project completion times and improved cash flow for contractors. uTerra's goal is to reduce delays in the construction process and provide AI-driven solutions for contractors to manage their projects more efficiently.

Oilfield optimization with AI-driven methods such as advanced predictive maintenance increases efficiency and production rates while reducing downtime. These methods allow engineers to schedule maintenance at optimal times and can lead to increased oil recovery, making AI a valuable tool in the oil and gas industry.