Extensive experience utilizing

Engineering dreams through artificial intelligence

Nicholas Davis

Available for Research

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LLM Architecture

I have a solid foundation in LLM architecture, from neural networks to transformers through Andrej Karpathy's lectures. I am able to apply LLMs effectively in AI and NLP based solutions.

Evolutionary Machine Learning

Evolutionary machine learning sparked my interest in AI research and is my strongest area of expertise. I was fortunate to learn from Dr. Chilukuri Mohan, an early contributor and leader in the field, who has been instrumental in my AI journey.

Artificial Neural Networks

I have a strong foundation in artificial neural networks, with experience in designing architectures for various applications. I plan to take Dr. Mohan's ANN class in the spring; he authored Elements of Artificial Neural Networks, which will enhance my understanding of advanced techniques.

ML Applications to Radar

Through research experiences with Dr. Varshney and Dr. Mohan I gained knowledge in radar technology, with insights that have transferred to my broader AI work. I’ve learned to work with multi-dimensional space, utilize complex distance measures, and operate large simulations to develop innovative solutions.

Traditional Machine Learning

I pride myself on being well-versed in traditional ML techniques like PCA, kernel machines, clustering, and regression, enhancing my ability to tackle diverse modeling challenges.

RL for Radar:
My Research Journey with SAAB & Syracuse University

Track Management System

Developed a track management system to initiate and maintain target tracks using advanced techniques

Advanced Math Techniques

Integrated advanced algorithms such as Kalman filters, Mahalanobis distance, and covariance-based track retention to enhance tracking accuracy and performance

Reward Function Modification

Engaged in strategic meetings to analyze the performance of the Deep-Q Neural Network, focusing on refining and innovating the reward function.

Academic Mentors

Dr. Chilukuri Mohan

Professor, Syracuse University

Dr. Mohan has been conducting research on neural network algorithms and applications since 1990. He has also been a long-term contributor to the field of Evolutionary Algorithms, including Genetic Algorithms and Particle Swarm Optimization. Through research experiences and insightful lectures with him, I have been propelled to grow as a more capable student of AI.

Dr. Kumar Varshney

Distinguished Professor, Syracuse University

Dr. Varshney has been addressing fundamental questions in statistics-based signal processing, data/information fusion, sensor data processing, data analytics, machine learning and AI. I have been fortunate to gain extensive knowledge about radar technology and the applications of AI in this field through his guidance during my work on the SAAB project