Welcome

I'm Kato Tomoya,

Senior AI Engineer,

Transforming Ideas into Intelligent Solutions.

Professional Profile

Senior AI Engineer with 9+ years of expertise in developing enterprise-grade AI/ML solutions. Specialized in Large Language Models (LLMs), multi-agent architectures, and natural language processing, with a proven track record of delivering transformative automation solutions that drive measurable business impact.

Led the design and implementation of sophisticated AI systems leveraging LangChain, LangGraph, and Azure AI Services. Expert in orchestrating multi-agent workflows, real-time conversational AI, and cloud-native AI deployments. Consistently achieved 30-45% improvements in development efficiency and system performance through innovative AI engineering approaches.

Passionate about advancing AI technology while maintaining work-life balance through theater, environmental conservation, outdoor activities, and cultural exploration. These diverse interests foster creative problem-solving and a holistic approach to complex technical challenges.

Professional Experience

9+ years of delivering enterprise AI/ML solutions across leading technology companies

Lead Software Engineer

Baca Consulting Group

Chicago, Illinois, USA

January 2026 – Present

•Architected and deployed microservices-based enterprise platforms on AWS using EKS, implementing CI/CD pipelines with GitHub Actions and ArgoCD, reducing deployment time by 60%
•Led migration of legacy monolithic applications to cloud-native architecture using Docker and Kubernetes, improving system scalability and reducing infrastructure costs by 40%
•Designed and implemented event-driven architectures using Apache Kafka and AWS Lambda, enabling real-time data processing for Fortune 500 clients with 99.9% uptime
•Developed AI-powered analytics platform using Python, TensorFlow, and OpenAI APIs, integrating machine learning models for predictive insights that improved client decision-making accuracy by 45%
•Built full-stack enterprise applications using React, Next.js, Node.js, and PostgreSQL, delivering responsive web solutions with TypeScript and modern UI frameworks for enhanced user experience
•Established engineering best practices including code review standards, automated testing frameworks with Jest and Pytest, and comprehensive documentation, improving team velocity by 35%
•Mentored cross-functional teams of 12+ engineers, conducting technical workshops on cloud architecture, DevOps practices, AI/ML integration, and modern software design patterns

Senior AI Engineer & Data Scientist

Wizcorp

Tokyo, Japan

March 2022 – January 2026

•Engineered a supervisor-orchestrated multi-agent system on Azure, leveraging LangGraph's capabilities to reduce data pipeline development time by 40%
•Fused agent systems with Azure OpenAI Service's models, improving Jira issue translation into data pipeline code by 35%
•Architected a supervisor-orchestrated multi-agent system in n8n, leveraging AI agent nodes with tool-calling capabilities to reduce manual data processing time
•Integrated MCP protocol with n8n workflows using custom HTTP nodes and webhook triggers, enabling external AI agents to invoke n8n automations
•Implemented multi-stage code validation in LangGraph, decreasing manual review overhead by 45% and increasing accuracy
•Enhanced system contextual awareness with GraphRAG and Azure AI Search, resulting in a 20% improvement in code generation accuracy
•Architected a low-latency conversational voice agent using LiveKit for real-time WebRTC streaming, Deepgram for sub-second speech-to-text, and Elevenlabs for neural synthesis, reducing average customer wait times by 40%

AI Developer

Autify

Tokyo, Japan

March 2018 – March 2022

•Engineered a real-time conversational AI voice bot for automated support, increasing call containment rates
•Developed robust communication protocols with gRPC and RabbitMQ, boosting system reliability and scalability
•Integrated BDI architectures in AI systems, reducing response times and improving information accuracy
•Managed the deployment of AI solutions on Azure with AKS, improving scalability and performance by 30%
•Mentored a team of 9 engineers, fostering a deep understanding of agent-based models and AI systems

Backend Developer

Peatix

Tokyo, Japan

October 2016 – November 2018

•Developed a robust backend system in Python using Flask framework to automate Twilio Flex contact center deployments
•Integrated with Twilio's Programmable Communications APIs (SMS, Voice, TaskRouter) via RESTful interfaces
•Implemented core automation logic using Python, leveraging requests for API interaction and SQLAlchemy for database management
•Designed and implemented a message queue-based task management system using RabbitMQ and pika, enabling asynchronous processing and improving system scalability