Open to opportunities

Tatsuya Kuroda

@tatsuyakuroda

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AI-focused full-stack developer delivering scalable web, mobile, and ML-driven solutions.

Japan

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What I'm looking for

I seek roles where I can lead AI-driven full-stack projects, mentor teams, and deploy scalable ML systems in cloud-native, collaborative environments.

I am an AI-focused full-stack engineer with 7+ years building scalable web and mobile applications that integrate modern ML models into production.

I've led end-to-end projects—designing microservices, deploying on Docker/Kubernetes/AWS, and delivering features like master-data extraction and recommendation systems that improved engagement by 25% and reduced delivery times by 15%.

My technical strength spans React, Node.js, Django, TensorFlow, PyTorch, GraphQL, and cross-platform mobile frameworks such as React Native and Flutter, paired with clean architecture and extensive DevOps experience.

I am passionate about mentorship, clean design, and shipping user-centric, reliable systems that combine AI, cloud, and decentralized technologies into production-grade products.

Experience

Work history, roles, and key accomplishments

Senior Full-Stack & AI Engineer

TechFlow Solutions

Jan 2024 - Aug 2025 (1 year 7 months)

Led development of Granit AI for Luxembourg finance, ensuring 100% data integrity across registries and built scalable microservices; engineered Shiper logistics platform with route-prediction models that reduced delivery time by 15%.

React Next.js Docker Kubernetes scikit learn Keycloak Microservices AWS

Mid-Level Full-Stack & ML Engineer

Cybozu, Inc

Feb 2021 - Dec 2023 (2 years 10 months)

Architected Novmuser AI with multi-agent orchestration and recommendation engines using TensorFlow/PyTorch and built Synro Life affiliate platform and real-time inventory sync across web/mobile.

TensorFlow PyTorch React REST APIs Recommendation Systems Real Time Systems PostgreSQL CI CD

Junior Full-Stack & ML Engineer

JustSystems XMetal

Nov 2018 - Jan 2021 (2 years 2 months)

Optimized KPI dashboards with Redis caching to reduce load time by 40%, prototyped ML pipeline on 200K+ video dataset, and supported CI/CD with unit/integration tests.

Python JavaScript Redis TensorFlow REST APIs Docker Jest Pytest CI CD

Education

Degrees, certifications, and relevant coursework

Mie University

Bachelor of Information Engineering, Information Engineering

2016 - 2019

Grade: 3.6 / 4.0

Activities and societies: Dean's List (2018); Academic Excellence Award

Bachelor of Information Engineering with coursework in AI, pattern recognition, computer architecture, and networking; graduated with a 3.6/4.0 GPA and received Dean's List and Academic Excellence Award.