01
Multimodal Quality Engine
Combined vision embeddings and anomaly scoring to surface subtle manufacturing defects in near real time.
↓ 41%
KENJI WATANABE
AI/ML Engineer · Production-minded intelligence
Models that
learn in public.
I design machine-learning systems that move from raw data to reliable decisions, blending experimentation, MLOps, and human-centered product thinking.
Explore selected work ↘NLP
CV
LLM
MLOps
AI
Signal over noise
Turning uncertainty
into useful systems.
“The best model is not the most complex one. It is the one that keeps creating value after deployment.”
I work across the full machine-learning reel: data strategy, feature design, model development, evaluation, deployment, and monitoring. My approach balances research curiosity with engineering discipline so intelligent products remain measurable, explainable, and maintainable.
18models shipped
7years building data products
34experiments accelerated
96%best production uptime
Selected reel
Systems, not
just notebooks.
02
Retrieval Intelligence Layer
Designed a grounded retrieval pipeline with evaluation loops, semantic routing, and observability for enterprise knowledge workflows.
+29%
03
Demand Forecasting Mesh
Built hierarchical forecasting services that blended seasonality, promotions, and uncertainty for operational planning.
-18.6%
Working vocabulary
A stack shaped
like a constellation.
Core expertise
PythonPyTorchTensorFlowTransformersscikit-learnSQLVector SearchAWSDockerMLflowFastAPIModel Monitoring
Journey
NOW
Senior AI/ML EngineerLeading model architecture, experimentation and production reliability.
2022
Machine Learning EngineerBuilt forecasting, NLP and recommendation systems.
2019
Data & AnalyticsStarted by turning messy operational data into decisions.
Next signal
Let's build
what learns.
Have a difficult prediction, automation, or intelligent-product problem? Tell me what the system needs to understand.
✉ kenji@example.com
☎ +81 3 5550 2211
◈ Tokyo, JP