Projects
A handpicked set of things I’ve built or researched—mostly around systems for ML, fast/efficient retrieval, and pragmatic algorithmic tooling. Each one taught me something about pushing latency down, making models observable, or turning messy ideas into working software. Source links when they exist.
Hangman AI: Transformer-Based Game Solver
Transformer-driven Hangman solver achieving >60% success using character-level modeling, morphological augmentation, and multi-strategy guess selection.
Advanced Analytic Tool
A modular analytical platform that ingests heterogeneous datasets (CSV/JSON/SQL streams) and provides extensible pipelines for preprocessing, feature engineering, and rapid experimentation with classical ML and lightweight deep models.
AI Player for Havannah Board Game
Monte Carlo Tree Search (MCTS) agent with UCB exploration achieving >80% win rate over strong RAVE-only baselines.
Application-Layer Reliable Transport & Congestion Control
Implemented a reliable transport protocol over UDP plus Reno & CUBIC congestion control variants with detailed performance benchmarking.
Context-Aware Spelling Correction
Noisy-channel + smoothed N-gram language modeling system achieving 88% accuracy on context-dependent spelling errors.
Data Search & Retrieval Engine
Neural-augmented retrieval system combining classical inverted indexing with dense vector search for hybrid relevance scoring across semi-structured technical documents.
Graph Neural Network for User Personality Prediction
Bipartite user–product interaction graph leveraged with GNN architecture to infer user personality traits with high accuracy.
LLM Code Agent Evaluation Framework
Comprehensive evaluation suite for LLM code generation inspired by SWE-bench and MLE-bench, achieving 73% task completion with iterative self-correction.
OS Kernel Enhancements in xv6
Implemented advanced kernel features (virtual memory improvements, scheduler tuning, system call extensions) in the pedagogical xv6 OS to deepen systems understanding.
RL Agent for Code Optimization
PPO-based reinforcement learning agent that optimizes code performance through iterative refinement, achieving 35% runtime reduction and 20% memory improvement.
SDN-based Intelligent Network Controller
High‑throughput OpenFlow controller with proactive L2 learning, shortest‑path routing, and loop prevention for complex topologies.
TotalRecall: Cognitive Health App
Cross-platform Flutter app with AI-assisted memory support workflows for Alzheimer’s patients, backed by Firebase services.