anime enjoyer • builder • learner • system tinkerer • AI + math explorer • code writer • midnight debugger • bug fixer • problem breaker • low-level curious • pattern spotter • research-minded • quiet observer • open to change • always prototyping • sometimes overthinking • often simplifying • notes collector • visual thinker • likes beautiful ideas • still figuring things out • anime enjoyer • builder • learner • system tinkerer • AI + math explorer • code writer • midnight debugger • bug fixer • problem breaker • low-level curious • pattern spotter • research-minded • quiet observer • open to change • always prototyping • sometimes overthinking • often simplifying • notes collector • visual thinker • likes beautiful ideas • still figuring things out
Selected research, hackathon, and engineering projects from my AI work.
Team-lead project at Denso Factory Hacks 2024. Built a multimodal RAG system that connects GPT-4o, Pinecone retrieval, Whisper-large-v3 speech recognition, and a Cox model for predictive maintenance.
Implemented A* and Conflict-Based Search for collision-free delivery simulation, then trained PPO and DQN agents in MAgent2 battle environments using CNN-based policy and value networks.
Led a hackathon system using ReAct prompting to decompose multi-step tasks, call tools, query APIs, and ground answers in university data through retrieval-augmented generation.
Multimodal RAG system for industrial documentation, sensor context, noisy speech input, and predictive maintenance. Built with GPT-4o, Pinecone, Whisper-large-v3, and a Cox Proportional Hazards model.
Implemented MAPF with A* and Conflict-Based Search, then trained self-playing agents with PPO and Deep Q-Learning in MAgent2 environments.
Agentic assistant using ReAct prompting, web/API calls, WebSockets, and retrieval over university data to reduce hallucination and handle multi-step student queries.
Computer vision pipeline combining semantic segmentation and pose estimation to warp garment images onto human body meshes, optimized for real-time rendering in a Next.js web application.
Hackathon project that used LLMs to generate RPG-style educational content and quizzes from course materials, with a backend for content generation and dynamic game state.
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