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Continued Progress

As is always the case, I have a lot going on, here is the latest. I was able to get the trackNotes app into enough shape to do a quick pitch and demo, which resulted in some early interest. I am ready to get some more feedback, and will be opening it up for a couple Early Adopters, if you are interested, drop me a note in the comments, and will send you the details.

One of my other projects is based heavily on computer vision, I decided to have some fun with it, and test my skills. I now have all the bits to build a Donkey Car it should be a pretty fun little project where I can learn, set myself up for the next steps of doing more suspension analysis work. I am now doing an extensive amount of model training using distributed inception approach, leveraging multiple GPU’s with a pre-emptible Kubernetes node pool. Good cost/performance, and translates to all of the cloud providers: AWS, Google, and IBM.

I have been working really hard with Phil, and continue to work my way toward my health goals. I have achieved 125Lbs of weight lost since October of 2017. I decided to add OPTIFAST back into my diet as a post workout drink, the high protein works to increase muscle growth, and helps with the recovery from a hard workout.

On the funding front, I am exploring a couple equity free options, there is currently a contest open with Google Cloud, and SAP called Circular Economy which is focused on United Nations sustainable production, and consumption goals. I am working out the broader implications of my current research, and plan to apply. Another equity free option is the SBIR route, which I have discussed briefly before. I have received feedback on my application, and have decided to pursue one of the current open solicitations with the DOT.
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Practice, Product, and Progress

I’ve been spending time in iRacing learning the line, got both of David Murry’s excellent Sebring, and Car Suspension webinars, as well as reviewing playbacks from the VRS datapacks. I really look forward to working with David directly on the Test/Tune day before the weekend at Sebring. I was also able to spend some very productive time this week out at Harris Hill with Andris of Gradient Racing. More seat time, and getting everybody familiar with the car is always a good thing

David Murry in the BGB #38

Over the holiday, I got a lot of work done on the trackNotes app, it is nearly ready for an alpha release. I am using creator, for the front-end, and firebase for the backend. I put together some wireframes for another app I am developing called setupBoard, that will work either standalone or together with trackNotes. Regarding my work with Kubeflow, it has gone very well, I was able to train against my dataset with multiple models, distributed across three cloud providers: GCP, AWS, and IBM. Inception v3 is the current leader with predictions of 85% accuracy against the ground truth in testing. I am going to test a couple more models: Random Forest, a TF Boosted Tree, and a DNN Classifier. Once I have another round of training, and testing I will start working through AI assisted hyper-parameter tuning to see if I can get the error rate any better. At that point I will switch gears and start working on the front-end.

setupBoard wireframe in creator.ionic.io

On the health front, I was having a hard time finding someone who could help me with both my nutrition, and training. I was referred to Phil Gephart who immediately exceeded my expectations for his knowledge, and professionalism. Phil is awesome! He worked with me to switch around my macros, added some supplements, changed up my training program, I am already seeing some incredible results with a 3% drop in body fat within the first week!