Application of NLP techniques to improve translation accuracy of ancient and low-resource languages. Developed classification-translation models for Sumerian-English transliteration and Named Entity Recognition models to bridge lexical gaps from unique Sumerian proper nouns.
Custom TF-IDF vectorization pipeline optimized for sentiment classification with frequency-based feature selection and context-aware n-gram generation. Implemented hashmap-based term frequency calculator reducing computational complexity from O(n²) to O(n). Achieved 4.2% accuracy improvement over scikit-learn's baseline on IMDb dataset.
Hybrid OLTP/OLAP data warehouse utilizing SAX parsers for efficient XML processing with O(1) memory complexity. Custom metadata-driven ETL pipeline with XPath query optimization reduced extract processing time by 68% compared to DOM parsing.
Cross-platform file system abstraction tool implementing custom B-tree indexing with O(log n) query performance. Platform-agnostic core translates between POSIX and Win32 filesystem APIs through adapter pattern.
Custom K-Means clustering algorithm for text data analysis on the 20 Newsgroups dataset. Utilized TF-IDF vectorization to categorize text documents into clusters. Benchmarked against scikit-learn KMeans using Homogeneity, Completeness, V-measure, and Silhouette Coefficient metrics.
C++ implementation of the theoretical framework for energy-aware task scheduling in mobile cloud computing. Constructs DAGs of tasks with local and cloud execution times, performing initial task assignment and prioritization to minimize total completion time.
Simulation exploring Q-Learning, SARSA, and Actor-Critic algorithms in a complex stochastic grid-based maze environment (248 navigable cells) with dynamic challenges including walls, bumps, and oil slicks.
Applied reinforcement learning to fine-tune activation of the p53-Mdm2 negative feedback loop, crucial for cell cycle regulation and tumor suppression. Developed optimal control policy to effectively manage key network components.
Bayesian-optimized MLP architecture for minimum-error classification of multivariate random vectors with non-Gaussian distributions. Achieved 97.2% accuracy with classification error within 0.3% of theoretical Bayes error limit.
ETL pipeline implementation for efficiently processing and transforming CSV files into structured data points and features. Responsive to API calls, the system methodically extracts data, applies transformations, and uploads to a relational database.
Implementation of Maximum A Posteriori (MAP) estimation to enhance vehicle localization accuracy in 2D environments. Bayesian model integrates range measurements to multiple landmarks with existing positional data.
Game engine for the classic Snake game developed using Vue.js with vanilla HTML and CSS. Vue.js streamlines state management and facilitates real-time rendering with dynamic game state updates.
Game engine for Tic-tac-toe developed using vanilla JavaScript, HTML, and CSS. Implements the Minimax algorithm to simulate intelligent opponent moves and strategize optimal responses.
Sound processing and song note compilation platform for real-time audio signal processing and synthesis. Enables generation of various waveforms (Sine, Square, Triangle, Sawtooth) with advanced digital filters including reverb.
Android companion app to interface with UV light hardware device component of Purple-Bug UV ride-share cleaning product. Developed using Java and Kotlin with Retrofit for network communications, Glide for image loading, and Room for local storage.