Category: FFL

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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!
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Over the Holidays

I have always loved this time of year, it has given me a chance to focus on the things that I really want to do, interesting projects, time to catch up with friends, and family, play games (or get in some iRacing time, got to get Sebring down), watch movies, and just relax. I am off from work for the next couple weeks, and will be focused on a quite a few things, as usual.

I have built, and deployed three kubernetes clusters on the three different cloud providers that came with my having joined FFL (GCP, AWS, and IBM), I have tested all of my training jobs, and am now ready to do a big run on distributed training using kubeflow, I will be working on a couple different models, Inception v3 to start, and will be working through all the hyperparameter tuning involved with trying to get the best RMSE for what I am doing, hint (it’s motorsports related).

Also, I have a prototype of the trackNotes app, that I released to the Play Store for a closed Alpha, to get some feedback on the UI, I am putting it together with creator.  I am working on the backend data-model in Firebase, which is pretty straightforward, there are some really good materials out there, I really like the codelab, it is ridiculously comprehensive. I am also going to start a wireframe for another app called setupBoard.

On the racing front, I am doing outreach for sponsors, and will need to get all of that loaded into Hubspot so I can keep track of it all. I am also loading in a bunch of leads which, I will see if I can turn into opportunities for everything that I am doing (vaguely described above). Also, I have been talking to Andris over at Gradient Racing to see what support would look like for 2019, we are planning a test day in January.


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Preparations for 2019

Continuing my work on track notes, I have a working prototype, just need to clean up the UI, and then start working on the iPhone cross-compile, I hope cordova works well for that.

I started a new 6-week workout block with two HIIT days, it is pretty rough from a recovery perspective, I do 45-minutes of HIIT cycling on Monday/Wednesday with 30-minutes of weight training, on Tuesday/Thursday I run, and do weights for 30-minutes each, on Friday I swim, and then do endurance focused weight training. Talking to my nutritionist about a Ketogenic plan to go with my training platform.

I keep adding to the backlog of reading materials, going through the bibliography of Michael Krumm’s excellent:  Driving On The Edge: The Art and Science of Race Driving

I have made some significant breakthroughs on my upmarket product, currently building out the underlying development platform, and pipeline using the cloud credits from FFL.

I am dying to get out in my car for a test day, looking at the next edge addicts event, or maybe just a session out at Harris Hill (which would be my preference). Hopefully, I can get that setup over the next couple weeks.