Becoming a Code Mighty

As a software engineer developing decision making algorithms (e.g.: ranking, autonomous drone control, … etc), one has the potential to impact the experience of hundreds of millions. Ranking Facebook’s news feed stories, deciding which Google results show first, controlling Tesla’s autopilot, … etc.

At university one enjoys the freedom to implement complex algorithms delivering a great user experience but misses having impact. At companies one enjoys having impact but lacks the freedom of implementing complex algorithms since code must be super simple for ease of maintenance and must be performant as it runs billions of times every day to deliver real-time experience where +1 millisecond is too much time.

So I developed Vangav M (vangav.com). I thought "let’s abstract the problem and make the solution as simple as plotting the solution’s idea on paper while delivering maximum performance".

Any decision making algorithm is: a set of inputs, a set of outputs and relations connecting inputs with outputs. As the solution size grows it’s still pretty easy to explain on paper but it becomes exponentially complicated to write the algorithm and maintain it as more numbers and mathematical operators come into play.

Vangav M replaces the coding part with a simple json form that describes the solution. With the push of a button Vangav M takes care of implementing the most performant solution in any programming language, and provides a solution’s API with set, process and get functions.

"compressing hours of development and maintenance time into minutes while delivering a maximum performance solution"

Check out the website for interactive examples, web client, open source desktop client, ...

www.vangav.com