Indexed by Ei Compendex, Led a research team evaluating battery storage system performance using a maximizing self-consumption strategy and genetic algorithms (GA)., https://dl.acm.org/doi/10.1145/3529299.3531500
Applied multiple regression and instrumental variable (IV) methods to analyze economic data. Processed over 20,000 data points using Stata for robust statistical modeling.
Using python language and CMU graphics library to create an electronic game. Developed a full-featured replica of the modern Minesweeper game, incorporating all standard mechanics and functionalities.
Designed and implemented a dynamic memory allocator using explicit free lists and boundary tag coalescing. Achieved high throughput and memory utilization through custom optimizations.
Neural networks, CNNs, RNNs, optimization, PyTorch-based projects. Implemented and trained deep neural networks for speech and image recognition using PyTorch. Applied backpropagation, batch normalization, and transfer learning to real-world datasets.