Professional certificates in AI, Robotics, C++, Algorithms, Data Structures, and Leadership.
Executive-education programs in change leadership and innovation management, completed as part of the MBA journey at the Sam M. Walton College of Business, University of Arkansas.


Continuing education in generative AI, game theory, wireless systems, and deep reinforcement learning — building breadth across emerging technologies.





From beginner C++ fundamentals through advanced data structures and a full Udacity Nanodegree — five real-world projects covering OOP, memory management, concurrency, and system-level programming.



Five-course specialization covering foundations of Deep Learning, neural networks, hyperparameter tuning, regularization, CNNs, RNNs, LSTM, and real-world applications in healthcare, autonomous driving, and NLP. Implemented in Python and TensorFlow.




Rigorous introduction to algorithms covering divide & conquer, sorting, graph search, shortest paths, greedy algorithms, dynamic programming, NP-completeness, and more. Taught by Tim Roughgarden at Stanford.





Object-oriented programming, asymptotic run-time analysis, and core data structures: arrays, hash tables, linked lists, trees, heaps, and graphs, with algorithms for traversal, rebalancing, and shortest paths.



