A personal blog bridging machine learning and philosophy. Essays on structural causal models, latent space geometry, interpretability, and the epistemology of neural networks.
"}},{"node":{"frontmatter":{"title":"Flutter 8-Puzzle Solver","tech":["Flutter","Dart","A* Search","BLoC"],"github":"https://github.com/pika-droid/eight_puzzle_app","external":"https://github.com/pika-droid/eight_puzzle_app"},"html":"Architected a high-performance mobile solver game using Clean Architecture and BLoC state management to maintain a fluid 60 FPS user experience. Integrated the A* Search algorithm using Manhattan heuristics, computing optimal solution paths in under 50ms.
"}},{"node":{"frontmatter":{"title":"Voice RAG Assistant (Murf.ai Runner-Up)","tech":["RAG","Voice Synthesis","LLM Reasoning","FAISS Vector DB"],"github":"","external":""},"html":"Runner-Up of Murf.ai Challenge 4. Built a low-latency voice-to-voice RAG assistant with domain-specific knowledge bases, high-performance FAISS matching, and synthesized speech output.
"}},{"node":{"frontmatter":{"title":"Model Pruning for Low-Powered AI (IEEE)","tech":["Model Compression","Pruning","Quantization","Edge AI"],"github":"","external":"https://ieeexplore.ieee.org/document/11156676"},"html":"Analyzed the computational efficiency trade-offs of deep learning compression techniques (pruning & quantization) for high-performance deployment on edge and low-power devices.
"}},{"node":{"frontmatter":{"title":"Interpretable Neural Networks (Springer)","tech":["QI-Net","QIXAI","PyTorch","CNN Interpretability"],"github":"","external":"https://drive.google.com/file/d/1KNTfnKZMIdh8PZBojY3_7Hk_xi3rWjcX/view?usp=sharing"},"html":"Authored research introducing QI-Net, an interpretable-by-design CNN achieving 97.2% Malaria detection accuracy while maintaining intrinsic explainability via orthogonal convolutions.
"}},{"node":{"frontmatter":{"title":"Hands-Free Agentic AI (Murf.ai Winner)","tech":["LLM Orchestration","Agentic Workflows","Voice Automation","Murf.ai API"],"github":"","external":""},"html":"Winner of Murf.ai Challenge 3. Developed a hands-free Agentic AI automation workflow leveraging LLM agent reasoning, voice input, and automated action execution.
"}},{"node":{"frontmatter":{"title":"Modified xv6 Kernel Scheduler","tech":["C","xv6 OS","Systems Programming","CPU Scheduling"],"github":"https://github.com/pika-droid/xv6-dynamic-scheduler","external":"https://github.com/pika-droid/xv6-dynamic-scheduler"},"html":"Engineered a dynamic priority CPU scheduler in C for the xv6 operating system by tracking per-process execution statistics. Achieved a 15% increase in CPU utilization compared to standard round-robin scheduler under benchmark workloads (short tasks, long tasks, mixed loads, etc.) through adaptive time-slice allocation based on execution history.
"}},{"node":{"frontmatter":{"title":"Campfire Chronicles","tech":["Unity (C#)","Google Gemini 2.5 Flash","Generative Narrative","Real-time Audio APIs"],"github":"https://github.com/pika-droid/the-campfire-chronicles-user","external":null},"html":"Winner of Murf.ai Challenge. Engineered a dynamic, highly branched generative narrative game in Unity utilizing Google Gemini 2.5 Flash and real-time custom voice cloning pipelines to craft custom stories dynamically based on player actions.
"}}]}}}