Research Engineer

Tokyo, Japan

Research Engineering (AI Lab)

Scale R&D in my company via engineering such as MLOps and ResearchOps

Backend Engineering and Data Science (iXamDrive)

An operation platform for in-feed advertising. It can publish dynamic ads social media such as Facebook, Twitter, and LINE as official partner.

Backend Engineering and Front Engineering (Game Tailor)

A dynamic retargeting ad product for smartphone apps. Tailor-made ads generated based on each game user status such as game level, selected characters and log in frequency will be served to worldwide game users through social medias.

Backend Engineering and Front Engineering (GameLogic/Audience, Smalgo)

An online advertising system as demand-side platform (DSP) to focus on mobile game publishers.

Release Automation with Semantic Commits

Introduce GitHub CI pipeline; generate release note, manage semantic versioning with conventional commits, and linter.

Skill Up Boot Camp for Research Scientists

Skill up onboarding for researchers were held and materials are available.

User Embeddings from their skill set

Attempts to reveal people skill sets based on their text (e.g., slack chats, source codes, papers, etc.).

Open-Sourced Our MLOps Training: How to Build Modern ML Workflows

One-day MLOps course covering participants from container basics to building automated AWS workflows.

Easy-to-use Experiment Management Hands-on with MLflow in GKE

Experimental management systems using kubernetes clusters for researchers.

MLOps2020: Start Small, Grow Big

The effective use of MLOps tools such as Hydra, Sacred, MLflow, Kedro, Metaflow, Kubeflow, and Optuna is explained with a comparison of their features.

Tweet-based Matching System Technologies

An installation work that extracts user features from their tweet and pre-questionnaires to realize a dialogue in an Augmented Reality space.