- Works as a backend engineer in the accommodation inventory team with various tech stacks including Java, Kotlin, Python, and MongoDB- Collaborates with multiple stakeholders such as Product Managers, Data Analysts, and Data Scientists to tackle 4+ projects.

- Worked as a backend engineer in a test-driven development environment with various tech stacks, including Java, PostgreSQL, Redis, and RabbitMQ- Implemented a new product that increased the MoM revenue of transacting partners by 55%- Accommodated up to 3 new engineers (intern and full-time) to settle with the culture and environment of the company by being a mentor- Took initiatives as a domain owner, up to 4 different products- Helped to improve the settlement process of transacting clients by 8x by leveraging message broker and concurrency process

- Teaching Assistant Coordinator of the course under Dipta Tanaya, S.Kom, M.Kom- Coordinated and led 8 other assistants- Conducted programming assignments, consisting of 5 lab tutorials and 2 coding tasks

- Teaching assistant for Discrete Mathematics 1 (Sep 2018 - Dec 2018), Calculus1 (Jan 2019 - June 2019), Data Structures and Algorithms (Sep 2019 - Dec 2019), Artificial Intelligence (Sep 2020 - Jan 2021), Algorithms Design & Analysis (Feb 2021 - July 2021)- Responsible for grading students' assignment and helping students on the subject bygiving tutorials

- Research assistant in NLP under the supervision of Rahmad Mahendra, S.Kom., M.Sc.- Analyzed multiword expression extraction methods using semantic vectors- Implemented and compared various semantic vectors such as Word2Vec, ​​GloVe, FastText, and ELMo on Indonesian news corpus

- Learned the concept of probabilistic programming and its use cases for real-life problems- Implemented probabilistic programming using PyMC3 library in Python- Presented and shared the knowledge at the end of the internship, the presentation was attended by more than 100 full-time and intern employees

- Led more than 100 students in the organization- Alongside the vice president, monitored weekly classes of the Special Interest Group (SIG), adapting from offline to online meetings due to COVID-19- Retained collaboration with GoAcademy with the help of the Public Relations division- Established relationships with other student organizations, student affairs of the faculty, and other external parties.

- Attended weekly internal classes organized by the senior members- Learned data science with topic ranging from Supervised Learning to NLP

- Did some research about serverless architecture frameworks using services such as AWS and Kubernetes- Presented my work at the end of the internship in front of other interns and full-time employeesengineers- Attended several tech talks held by the company with topics ranging from design patterns,clean code, and machine learning