Hello there! At the youthful age of 20, I find myself immersed in the dynamic realm of artificial intelligence, where I proudly wear the hats of both an AI scientist and a consultant. My professional journey has been a harmonious blend of visionary thinking and technical prowess, a delicate dance that allows me to navigate the intricate landscape of cutting-edge technology since 4 years ago when I started to code as a Full-Stack Engineer.
As a specialist in data engineering, I have not only embraced but excelled in the art of crafting and deploying innovative AI solutions. My passion lies in the convergence of Generative and Rule-Based AI, where I have left an indelible mark on the field, contributing to the continuous evolution of traditional AI methodologies.
My journey thus far has been marked by a relentless pursuit of excellence and a commitment to pushing the boundaries of what is possible in the world of artificial intelligence. Beyond the confines of age, I bring to the table a wealth of experience that defies conventional expectations. My work stands as a testament to my dedication to the ever-evolving landscape of AI, where I am not merely a participant but a catalyst for progress.
Join me on this exhilarating journey as we explore the limitless possibilities that AI has to offer. With a curious mind and a passion for pushing the boundaries, I am not just an AI scientist and consultant; I am a harbinger of the future, shaping the landscape of tomorrow's technology today.
Service involves the systematic organization and examination of raw data to extract meaningful insights. Includes cleaning, transforming, and summarizing data for further analysis.
Develop customized Machine Learning (ML) and Deep Learning (DL) algorithms for automated decision-making and predictions.
Comprehensive evaluation of data sets to uncover patterns, trends, and relationships. Focuses on extracting actionable insights and providing meaningful interpretations to support informed decision-making.
Integrate Generative AI for autonomous content creation and Rule-Based AI for transparent, controlled decision-making. This includes leveraging generative models for creative outputs and implementing rule-based systems for structured logic-based decisions.
Status: Offline.
NueroAlpha goes beyond the common vision of an LLM, using the Transformers architecture, Neuro seeks to compensate for errors, with the new Transformers 2.0 architecture proposed in my publication "Logical Neuronal Networks: Addressing the Natural Language Processing Inference Problems".
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