Hello, This is me, Arif. An ex-product engineer with past experience in Machine Learning and Computational Mathematics. I have significant open source experience as well.
I like old school paintings and 70s classic rock. Oh, and cats too :)
A complete implementation of a DNN model to learn the non-linear distortion effect applied to an acoustic guitar sound.
An attempt to generate sequential data(specifically piano music) using a Differentiable Neural Computer.
This was a study project to understand the workings of multi-agent diverse generative adversarial networks
Project in Computational Mathematics. This involved implementing the algorithm in a 2017 paper concerning a numerical method to compute integral of an arbitrary polynomial over 2/3-Polytopes. Detailed information is present in the report(the link in Read More section)
Project in Parallelization. Bulk of the work was to parallelize the various Math and Fitting functions present in ROOT(library for particle physics data analysis). Other minor work was to improve VecCore which further used various backend libraries to parallelize basic math functions.
Was part of a small but effective three member software team. Responsible for a lot of major improvements in existing codebase as well as new implementations/products.
My work was mostly on Annie, an all-in-one Braille dicta reader(their flagship device) and Chakravyuh, a COVID monitoring tool(winner of CAWACH grant).
Was the sole developer of the application to interact with the Bio 3D printer.
Away from August 18 - June 19. Unfortunately the team disbanded later.
Designed and implemented their preliminary targeted advertising recommendation system