- Lead the development and maintenance of financial modeling API Tool for enterprise partners which helped Ezar to sign contracts with financial institutions and generate primary income. - Worked closely with the product development team to implement Ezar’s main product, a financial investment application. Implemented and extended core features the of application, redesign APIs and parallelized computational tasks which greatly reduced latency of backend requests. - Contributed to improving overall communication between frontend and backend team by introducing modern testing/documentation tools such as Swagger and Storybook. - Created the Korean MVP of web application for the company’s main product and implemented API documentation webpage for active support of business clients. - Mentored two intern developers to implement front-end projects and build the Flask backend server and helped to link interns with senior software developers which was useful for the work progress and overall team motivation. Technologies used: Golang, Python3, JavaScript, Typescript, Gin, Django, Flask, React, Next.js, MySQL, Redis, AWS

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- Implemented a well-engineered statistical algorithm for highlighting important stream events through audio data analysis. - Designed and executed easy-to-maintain, reliable, and bug-free code for speech analyzer microservice with the core 92% accuracy speech recognition model. - Designed, tested, and deployed new artificial intelligence functionality for video analysis and highlight extraction. Technologies used: Git, Node.js, FFmpeg, Python3, TensorFlow, Django, MongoDB, REST API

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- Collaborated with the development team to conduct technical analysis of the product and encouraged Test Driven Development approach by implementing tthe esting stage. - Designed and implemented a data accessing and threads communication functionality of the product SDK. - Deployed Facial Recognition model on the different hardware to test and analyze the product performance in different environments. - Developed and maintained the automated CI/CD pipeline for code deployment for Android team. Contributed towards automatic test generation infrastructure in production stages. Technologies used: Git, Python, C/C++, Jenkins, App Center, Android Studio, Pynguin, Bitrise, EvoSuite

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- Re-examined previous cache replacement policies to identify traditional technologies, common research methodology ,and trends in modern workloads. - Implemented well-known cache replacement policies such as ARC, LRFU, LRU, and LFU to test their performance metrics in different workloads and environments. - Reported and summarized the overheads, efficiency, and different characteristics of abovementioned replacement policies on different workloads. Technologies used: Git, Python, C/C++

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