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., https://docs.google.com/document/d/1iVqUd_fTLcf5XrRX7rFjAUsquvNb92QtqtBs_FJBuQ4/edit?usp=sharing
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.