A full documentation of my technological output, ranging from autonomous AI agents to enterprise-grade web architectures.

Led end-to-end development of an LLM-powered Office add-in for automated contract review at MNTSQ — from prototype to production using OpenAI APIs, embeddings, and vector search.

Designed and productionized LLM-driven features for a VoiceBot platform at IVRy — automating knowledge base configuration, performance evaluation, and response quality improvement.

Built the MVP of a SaaS NLP platform for Japanese contract analysis achieving near state-of-the-art performance. Later expanded to English contracts using deep learning.

AI-powered document summarization system deployed across multiple industry clients at PKSHA Technology, enabling efficient large-document comprehension.

Built a news article search and recommendation system using NLP techniques — improving content discovery and reader engagement.

Developed a VoC analysis engine to extract actionable insights from customer feedback at scale, helping businesses understand satisfaction drivers.

Designed standardized reusable NLP modules at PKSHA Technology — accelerating delivery for consultants and enabling efficient knowledge sharing across engineering teams.

Investigated deep learning models for dialogue classification at CyberAgent, improving chatbot recognition accuracy in the AdTech division. Built automated Spark training pipelines.

Researched deep alignment models for machine translation at NTT Communication Science Laboratories during graduate internship.
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