I am a machine learning engineer based out of NYC. My primary
interest within,
Machine Learning are:
researching and developing general-purpose AI that is capable of
running in the real world.
developing and deploying ML systems that are robust and “make
sense” from the engineering perspective.
reinforcement learning agents capable of making the most optimal
choice in various contexts.
Software Engineering:
the application of the clean code principles for development of
flexible and extensible software capable of elegantly solving its
problem.
Data Engineering:
a proper design of the data framework that has minimal bloat and
can tackle high volumes of data reliably.
Outside of my professional endeavours, I am pursuing a degree in
Mathematics and Physics to help me get a more intimate understanding
of the use of maths for describing various natural phenomena. Also,
I play judo and use it as a medium that ties my physical and
abstract worlds together.