A curated selection of autonomous systems and sophisticated applications bridging the gap between complexity and utility.
Led end-to-end development of an Office add-in for automated contract review at MNTSQ — from prototype to production using OpenAI APIs, embeddings, and vector search.


Led end-to-end development of an LLM-powered Office add-in for automated contract review at MNTSQ. From prototyping to market launch using OpenAI APIs, embeddings, and vector search with seamless Office integration.

Designed and productionized LLM-driven features for a VoiceBot platform at IVRy. Automated knowledge base configuration, performance evaluation, and continuous refinement — reducing onboarding time and maintenance costs.

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

Delivered AI-powered NLP solutions across diverse industries at PKSHA Technology — document summarization, news article search & recommendation, and Voice of Customer (VoC) analysis engines.

Designed and led development of standardized in-house NLP modules and reusable frameworks at PKSHA Technology to accelerate delivery and enable efficient knowledge sharing across client projects.

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