Wuardiang - Experimenting with Artificial Intelligence

About me

Wuardiang is a "side project" developed by an Artificial Intelligence geek trying to innovate and experiment with AI applications.

My name is Miguel Angel Sanchez and a key characteristic of my professional career is versatility, as I have held various high-level roles in the organizations where I have worked. I have held a wide range of responsibilities, including technology product design and development, business and operations transformation, strategic project planning and execution, and leading teams in operations, product, and technology.

Despite having such a complete (and complex) professional career, I have never lost the motivation to experiment with personal projects in my free time and thus keep my practical knowledge of technology up to date. My professional career as a developer ended very soon, but my more "geeky" side resisted completely abandoning programming.

"Dreams come true twice, first in your mind and then in reality"

My Vision

Generative AI has advanced so rapidly in the last year that it has ceased to be a geeky topic. But the truth is that people still talk more about the future of AI than the present, even with a certain tendency towards sensationalism. Although it is true that there are already some very useful practical applications, we are still in a phase of adoption and experimentation.

Will Generative AI profoundly transform humanity and replace people with robots?

In any case, I cannot avoid the feeling that many people seem to forget a key factor: people are the ones who give meaning to Artificial Intelligence and not the other way around. Unlike generative AI, human intelligence is based on the incredible ability to establish context and make inferences based on very few data and examples.

My Mission

Experiment with Artificial Intelligence to explore the limits of interaction between Humans and Technology.

Wuardiang was born as a side project to find creative solutions to the limitations of machine learning systems, especially regarding generative AI. I am experimenting with key technologies like Google Gemini, OpenAI, Grok, etc. to achieve specific applications, but with a more "specialist" approach.

Generative AI's impact extends far beyond customer service chatbots; it will fundamentally transform how software is conceptualized, designed, and developed. This hands-on experience has convinced me that Gen AI is vital for dramatically boosting the quality and efficiency of business or operations.