Consulting Services

I am an independent consultant, focused on architecture, performance tuning, advisory services, and proofs of concept around data intensive applications. I am available for hire, doing business under the name "Data-ken Research" for short term and ongoing engagements.

Some current and recent projects include:

1. Design and prototyping of data engineering infrastructure as a part of a project to commercialize a new deep learning technology.
2. Performance tuning of a streaming analytics benchmark involving Apache Spark, Apache Kafka, Redis, and Kubernetes.
3. General advisory services regarding analytics and machine learning applications. This includes participating in discussions with the client's prospective customers.
4. Work with an academic research institute on machine learning based prediction of events, leveraging natural language event metadata and interrelationships.
5. As an Innovation Commercialization consultant at an industrial research laboratory, I evaluated market opportunities for a Healthcare IoT technology portfolio. As a part of this effort, I also updated the technology stack, added cloud integration, and designed a patent-pending peak detection algorithm for ECG/PPG data.
6. Initial prototyping and architecture for an IoT middleware project at an academic research institute. This resulted in the ThingFlow framework for event-driven IoT (https://thingflow.io). I also created a class on IoT hardware and software (http://micropython-iot-hackathon.readthedocs.io/en/latest/) and led sessions of the class at the PyBay conference and SFPython.