After much reading about Vitamin D, the idea was hatched
to make an app that would help people keep on top of how much
they were getting when getting safe sun exposure, and what
their likely level was.
Make an app that could get satellite information from
the phone to figure out where on the planet the subject was
and construct the solar forecast, then make it possible to
track how much D (s)he was getting for each minute outside and
estimate how much it would move the overall level.
Not long after it was released, it came to the attention
of the world's leading authority on Vitamin D, Dr. Michael
Holick, and a partnership was forged.
At the peak of the government's putting contracts and
grants out for bids, as many as 5000 new opportunities show up
per day. Especially small players don't have time to go
through all them to see if there are items they might be
A (Bayesian) predictor that scores each opportunity for
each member, making sure that time is spent on the most
valuable items first.
System was originally developed for Contracts and was
then adapted to Grants and has been in production ever since.
Part of the Affordable Care Act was an announcement that
the government would be trying to get control of readmissions.
Build an application that can import admissions data
from any patient population and create a predictor that could
tell us, on a case-by-case basis, which people who are
currently being cared for are most likely to be readmissions
Ten years of admissions data turned up a lot of
interesting information about who was readmitting, when, and
why. For other issues, studies were done, but a study is a
one-time look at a static set of data. The application trained
on the data it was given, therefore it could be used in
different demographic areas and during different time periods.
Serializing CoreData models and sending them over the
wire as JSON was painstaking and the existing tools were
messy, did not use the NSCoding protocol in Cocoa.
To provide a JSON-based encoder an decoder so once it
was plugged in, domain classes could simply implement the
NSCoding protocol, never write a line of JSON, and the object
graph would be written out and read back in again.
dishapedia allows you to browse and share dishes in your
area. Find the best restaurant for what you're craving, or
find what restaurant will work for everyone's preference in a
large group of people. Set your diet and by just adding dishes
to your meal, our system recognizes your preferences and
produces better recommendations. dishapedia also allows
connections through Bluetooth to instantaneously share dishes
and meals. You can also follow restaurants to view recently
entered dishes, and also share your dishes or meals with
people within or outside of the app.
To rewrite a C codebase in Java, increasing interoperability and performance.
Implementation of a Bayes inference engine that classified typing samples
by characteristics like flight time, hold time, etc. Logic was introduced that
allowed us to figure out who was authenticating before the credential typing
was complete so that we were not loading the sample data while the system/user
were waiting for a decision.
Company had a huge list of people to call and a short amount of time to sign up as many people
We wrote a predictor that each night would train on all the to date results, then
predict the likelihood of interest of everyone remaining to be called so that focus was
constantly on the people who were most likely to say yes.
I love your D Minder app but, could you please make a version for Android devices? My iPod touch is old and tired. I would really like to have this app on my phone.
I am highly obsessed with your app and have recommended it to a lot of
Viren (in India)
Hello. I am most impressed with the new UI - congrats.
Have been using dminder for two years now and use it summer and winter ( lots of supplementing ) to monitor my D. It's one of the apps I live by.
Kevin (in San Francisco)
Great app works well!
Colin (in Australia)
FYI just checked my D. 71 the blood test, 77 on the app. Pretty good.
Ward (in Australia)
We are a small team of developers who have worked together on many
We are distributed across several countries, allowing around the clock progress with continuous collaboration.
We do iterative development (Agile), particularly using Lean and Kanban/Scrumban. Lately, we have been using tools that keep us focused on delivering pieces in very tight cycles, reaching Continuous Delivery where we release some times many times per day.
The role of the Customer is critical in Agile. We work closely with online chats, screenshots, screencasts, as we build.
Lately, we've been using Boostrap to deliver beautiful looking products from day one.
Rob Williams Rob has more than 20 years of experience
with 100% involvement with product development. He has
worked in many entrepreneurial environments. Rob was also
an author on Akka
in Action which is introducing Akka with its Actor Programming
model and its advanced support for concurrency and fault tolerance.
Feel free to contact us if
you have feedback through the form below.
Colorado Boulevard Suite 102 Los Angeles, CA 90041