At Dealertrack, I work within an awesome scrum team called Djangsters to develop and maintain our backend systems. As Djangsters name might suggest, we are fans of Django web framework however we also enjoy working with many other Python tools and packages such as SQLAlchemy. Finally we also strongly believe in code-simplicity, tests, automation and ping-pong!

This is a small wedding photography studio where everyone does everything. My primary job is post-processing images after the wedding which includes organizing, color-correcting, and retouching of images for final products. The retouching process primarily involves the use of Adobe products such as Adobe Photoshop. In addition to image post-processing, I am also responsible for all technical needs of the studio. That includes computer maintenance, full-stack website development using Django and creation of many internal Python utilities to help in everyday tasks.

Developed a Python wrapper library PySAASS for Semi-Automatic Augmented Statistical Segmentation (SAASS) which is a C++ library which allows to follow a semi-automatic workflow to segment a series of images. Since the segmentation algorithm is computationally expensive, in order to optimize its speed the library was done in C++ however that made its API not very intuitive and tedious to work with. Python wrapper solves this since it allows for much simpler user-interface which in turn allows to test the library in different environments much faster which is beneficial in research environment.