Selected work

Practical ideas.
Engineering depth.

Project overviews spanning intelligent workflows, explainable matching, and applied machine learning.

01 / Email intelligence

Mailwise

Context

Email is both a communication channel and a place where everyday work accumulates.

The project

An AI-powered email intelligence and workflow-assistance product.

Engineering focus

Bringing AI-powered intelligence and workflow assistance to email.

02 / Opportunity matching

ProNet

Context

Professional opportunity matching needs to consider both evidence and intent.

The project

An evidence + intent-based professional opportunity-matching platform with explainable compatibility and gap analysis.

Engineering focus

Explainable compatibility and gap analysis, rather than an unexplained match.

03 / Applied machine learning

Microclimate Forecasting & Crop Yield Intelligence

Context

Weather prediction and crop-yield intelligence are connected information challenges.

The project

A CNN/LSTM weather-prediction and crop-yield intelligence project.

Engineering focus

CNN/LSTM modeling as a foundation for deeper machine-learning work.

Start with the problem

What process is slowing
your organization down?

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Start by telling us what is not working.

Tell Us What You Want to Improve