Datatron —
AI Model Management

ClientDatatron

Year2016–2018

Early engineer at UC Berkeley-founded AI startup building model-monitoring dashboards and visualization tools for enterprise clients managing production ML models.

Scope of Work

React
Flask
D3.js
Python
AI/LLM
TensorFlow

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The Outcome.
See the results.

Model Monitoring

+0%

Built real-time monitoring dashboards

50/mo

Pre-Launch

200/mo

Post-Launch

* Enterprise client metrics

Data Visualization

+0%

Interactive D3.js visualizations

+0%

* User engagement metrics

Early Team

+0%

Founding engineer at Berkeley startup

* Platform growth

The Approach.
See how we did it.

Early Engineering

Founding Team Member

Joined as early engineer at UC Berkeley-founded AI startup, contributing to core platform from ground up.

Built model monitoring dashboards
Created visualization tools for ML metrics
Established development best practices
Helped define product direction

Data Visualization

D3.js & Interactive Charts

Built custom data visualization tools using D3.js to help enterprise clients monitor their production ML models.

Created interactive dashboards with D3.js
Visualized complex ML metrics and trends
Real-time model performance monitoring
User-friendly interface for non-technical users

Backend Architecture

Flask & Python

Built robust backend infrastructure using Flask and Python to support model monitoring and analytics for enterprise clients.

RESTful API design and development
Data processing pipelines for ML metrics
Integration with ML model APIs
Scalable architecture for enterprise use

Jason was an early engineer when we were still figuring out what the product should be. He built our model monitoring dashboards and the D3.js visualizations that became core to how enterprise clients track their ML models. His contributions weren't just code—they helped define the product direction. Working with Jason in those early days was foundational to what Datatron became.