Parik developed a client-facing integration for the pytorch/executorch repository by exposing the ET Tokenizer as a Buck Target, allowing clients to seamlessly include the tokenizer in their applications. This work involved designing an accessible API surface and integrating with the Buck build system, focusing on reducing client integration effort and accelerating onboarding for ET-based workflows. Using Python and full stack development skills, Parik ensured careful change management to align with the product roadmap. The feature improved client usability and time-to-value, though the scope was limited to a single feature over one month, with no major bug fixes during this period.