My Experiences
AI Engineer Intern
Media Kernels Indonesia
Sep 2024 - Present
Jakarta, Indonesia
Backend Engineer Intern
Traveloka
Feb 2024 - Jun 2024
Tangerang, Indonesia
Machine Learning Engineer
Transjakarta (Project Based)
Oct 2023 - Present
Depok, Indonesia
Teaching Assistant
Faculty of Computer Science, Universitas Indonesia
Aug 2022 - Jan 2024
Depok, Indonesia
Software Engineer Intern
SabilaMall
Jun 2023 - Sep 2023
Depok, Indonesia
Data Ops Engineer Intern
Xeratic
Sep 2022 - Nov 2022
Tangerang, Indonesia
My Achievements
2
4
🥈 2nd Winner of Big Data Challenge, Satria Data 2024
Indonesian Ministry of Education, Culture, Research, and Technology, Aug 2024
Achieved the silver medal by overcoming 400+ teams in a prestigious national competition by developing and implementing a unique analytical method for the study "Analysis of the 2024 Presidential Election Campaign Using Lexical Mutations Network, Public Stance, and Civility Tendency on Social Media."
🥇 1st Winner of Machine Learning Competition, Data Slayer 1.0
Telkom Institute of Technology Purwokerto, Jan 2024
Overcome other 120+ teams with proposed multi-layered stacking machine learning models to estimate the CO2 vehicle emissions in Indonesia.
🥇 1st Winner of Objective Quest Dataquest, Airnology 2.0
BEM FTMM Universitas Airlangga, Oct 2023
Our team, Three Outliers, created a highly effective "Image-based Drugs Search Engine using OCR and Levenshtein Algorithm." We also employed an ensemble method to predict rainfall during the selection phase. As a result, we secured first place in the competition, surpassing over 200 participants from more than 20 national universities.
🥈 2nd Winner of Natural Language Processing Data Competition, Intelligo ID 2023
Intelligo ID, Oct 2023
My team, Three Outliers, utilized NLP techniques to develop a "High-Accuracy, Low-Cost Model for Indonesian Logistics Sentiment Analysis". As a result, we were able to secure the 2nd place in the competition.
My Projects
Automatic Assignment of Community Reports on the CRM Platform Using Early Fusion Multimodal Transformer
May 2024-Jun 2024
Conducted an experiment that leveraged Transformer-based models such as DINOv2 and E5 to automatically assign community reports in Jakarta to the respective agencies, aiming to enhance the efficiency of the reporting process.
PilgrimPal - Umroh AI App
Jan 2024-Feb 2024
PilgrimPal is an AI-based mobile application that aims to help pilgrims with their activities related to Umrah. This app contributes to helping pilgrims communicate, informing them of crowdedness in an area, and identifying their future needs. Our two main features are live CCTV crowd detection and AI chatbot assistant.
Transjakarta App
Oct 2023-Present
Developing an app for PT Transjakarta that leverages an AI model and live GPS to provide live bus location, ETA, and nearby bus stops.
Duren Search Engine
Dec 2023
Developed a search engine website that utilizes a Learning to Rank technique. The technique is trained and indexed using the WikiCLIR dataset.
Image-based Drugs Search Engine using OCR and Levenshtein Algorithm
Oct 2023
Developed an OCR-based drug brand detector for the Kasir Pintar® company during the Airnology 2.0 Data Competition.
High-Accuracy, Low-Cost Model for Indonesian Logistics Sentiment Analysis
Oct 2023
Conducted an experimentona "High-Accuracy, Low-Cost" model for sentiment analysis using self-acquired and pseudo-labeled data obtained through web scraping. The focus of the analysis was on the Indonesian logistics industry.
Helm Detection on Motorcycle Drivers in Indonesia using Deformable DETR
Jul 2023
Conducted research for the purpose of GEMASTIK XVI selection. Utilized CCTVs from Bali Tower to create our own dataset.
Data Analytics Dashboard Competition Grader Website, COMPFEST 15
Jun 2023
This website serves as the platform for the COMPFEST 15 Data Analytics Dash Competition. It is designed to evaluate participants' queries, provide information about the competition, and offer details about the questions. Developed the website using Next.js 13, Fiber, and raw query builder PGX.
Pesta Rakyat 2022 & 2023 Website, PERAK 2023
May 2022, Jun 2023
Developed the 2022 website and led the team to make the 2023 website to accommodate the Pesta Rakyat Komputer event. It had features like mini e-commerce, a leaderboard, built-in games, a Scan Me game, and many more. Developed the website using T3stack (Next.js + tRPC +Prisma) and utilized NextAuth.js for authentication.
Segmentation Self-Driving Car
Aug 2022
This project involved training a semantic segmentation model using an image dataset from Cityscapes. Three experiments were conducted using three di erent models namely U-Net, FCN8s, and U-Net x Mobile-Net V2.