Part of Performance in IBM Quantum.

Contributed to job compilation efficiency in Qiskit Runtime by implementing a Go endpoint for owner-verified deletion of compiled quantum payloads, complemented by a mock API for unit testing and to verify the functionality of the endpoint. Augmented Qiskit Runtime's reliability by designing over 20 error types and 30 unit tests. Implemented various forms of error propagation, logging, and handling across different Python codebases, including the Near-Time Compute services.

Created and launched the MVP of Entrevista by developing a web-based JavaScript recorder and text-to-speech that simulates a real-time casing interview via a REST API framework and a Python video-processor, an open-source text-generator, and AWS S3 handlers. Deployed in the span of a month, leveraging Heroku, GitHub, and AWS. Earned finalist position in Y-Combinator with two Co-Founders, initiating team and user acquisition.

Teaching fellow for a class on Systems Programming and Machine Organization. Main responsibilities include holding section and office hours focused on different infrastructures regarding low-level programming done through C++.

Boosted efficiency and reliability of the PAWS SMART API by developing a Python HTTP API. This facilitated simultaneous multi-case testing, supplanted manual Postman HTTP requests, and yielded substantial time savings. Broadened the testing scope and enhanced error handling by leveraging Azure for data storage and creating 15 additional mock QGIS parks, enabling bulk request processing, thorough testing, and accelerating the integration of new features.