SQL backed web applications -
Building the core of the application in PostgreSQL, adding an API layer in python (on google app engine), and overlaying that with Elm based thick javascript client.
Frontend - coding applications with html/css/javascript. Elm-style static-typed model-view-action design
Machine Learning - Putting the data in the right format (python and sql scripts), iterating on feature engineering. Prefer to use Vowpal Wabbit (logistic regression with hashing trick) since this can often do just as good a job as deep neural networks.
Application Scaling - How to shard the application database to beyond what SQL can do (makes sense for machine-to-machine IOT applications, and for high user load applications) (Although this is somewhat mitigated by Google Spanner very recently, can continue to use SQL and not
shard)
In summary - Solid full stack developer, can get working right away on your project for reasonable cost and time. Prefer using Google's cloud technologies (app engine python, cloud postgresql) so that devops is reduced to minimum.
SQL backed web applications -
Building the core of the application in PostgreSQL, adding an API layer in python (on google app engine), and overlaying that with Elm based thick javascript client.
Frontend -
coding applications with html/css/javascript. Elm-style static-typed model-view-action design
Machine Learning -
Putting the data in the right format (python and sql scripts), iterating on feature engineering. Prefer to use Vowpal Wabbit (logistic regression with hashing trick) since this can often do just as good a job as deep neural networks.
Application Scaling -
How to shard the application database to beyond what SQL can do (makes sense for machine-to-machine IOT applications, and for high user load applications) (Although this is somewhat mitigated by Google Spanner very recently, can continue to use SQL and not
shard)
In summary -
Solid full stack developer, can get working right away on your project for reasonable cost and time. Prefer using Google's cloud technologies (app engine python, cloud postgresql) so that devops is reduced to minimum.
Remote: Yes
Willing to relocate: Yes
Technologies: python, javascript, java, haskell, ocaml, prolog, sql
Resume/CV: http://unawaz.github.io/website/
Email: nawaz.umar+hn@gmail.com
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SQL backed web applications - Building the core of the application in PostgreSQL, adding an API layer in python (on google app engine), and overlaying that with Elm based thick javascript client.
Frontend - coding applications with html/css/javascript. Elm-style static-typed model-view-action design
Machine Learning - Putting the data in the right format (python and sql scripts), iterating on feature engineering. Prefer to use Vowpal Wabbit (logistic regression with hashing trick) since this can often do just as good a job as deep neural networks.
Application Scaling - How to shard the application database to beyond what SQL can do (makes sense for machine-to-machine IOT applications, and for high user load applications) (Although this is somewhat mitigated by Google Spanner very recently, can continue to use SQL and not shard)
In summary - Solid full stack developer, can get working right away on your project for reasonable cost and time. Prefer using Google's cloud technologies (app engine python, cloud postgresql) so that devops is reduced to minimum.