I developed a command-line interface (CLI) tool that efficiently transforms an OpenAPI Specification (OAS) file into a .docx-based document. This tool offers a viable solution to the current lack of a dedicated platform for developers and non-developers to define API specifications. By converting the specification into a .docx format, the resulting document can be conveniently uploaded and accessed through Google Docs, facilitating seamless collaboration between developers and non-developers.

I have leveraged my expertise as a system designer and engineer, collaborating with fellow engineers and data scientists, to construct a fraud-detection system. This system employs multiple Python- and Go-based microservices, in addition to those powered by PostgreSQL and RabbitMQ. Its components comprise a core service, an online feature aggregation service, a rule management service, and a data enrichment service. The fundamental objective of this sophisticated system is to effectively discern and eliminate suspicious transactions amidst legitimate ones.

An application built on Go programming language designed to streamline investment decision-making analysis. The conception of this idea stemmed from my personal experience of manually extracting data and conducting analysis in a Google Sheet. The process involved plotting, calculating, and categorizing the data based on my interpretation, often resulting in extensive time expenditure even for a single company. With the aim of simplifying this investment process, I have developed a system that focuses on achieving the following objectives: - Facilitating the collection of raw information, while ensuring its cleanliness and storage as tabular data (bronze and silver data). - Utilizing the clean data to perform calculations and generate visualizations (silver and gold data). - Constructing a user interface-based platform and automating report generation for each company to streamline the decision-making process.