AI Engineer with less than a year in Computer Vision & Machine Learning
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Last-year Informatics student at Universitas Bunda Mulia with a strong interest in Artificial Intelligence, Machine Learning, and Computer Vision. Proficient in Python with hands-on experience using PyTorch, scikit-learn, and OpenCV. Familiar with core computer vision tasks such as image classification, object detection, and basic segmentation through academic and personal projects. Motivated to apply AI/ML solutions to real-world problems, with strong problem-solving skills and the ability to work both independently and in team environments.
Universitas Bunda Mulia
Informatics · Informatics
August 1, 2022 – Present
SMK Galajuara
Computer and Network Engineering · Computer and Network Engineering
June 1, 2019 – June 1, 2022
Century 21
Admin Marketing / Internship
January 1, 2021 – March 1, 2021
Bekasi, West Java, Indonesia
SIBI Hand Sign Classification Web Application
January 1, 2026 – Present
Built a full-stack real-time SIBI gesture recognition system, achieving <200ms inference latency end-to-end via a React.js + Flask pipeline. Integrated MediaPipe for hand landmark extraction and XGBoost for gesture classification, maintaining 99% accuracy in live webcam inference. Engineered a Word Builder feature enabling users to construct full words from sequential gestures, expanding system utility beyond single-character recognition. Implemented Indonesian Text-to-Speech (TTS) to convert constructed words into audio output, improving accessibility for deaf and hard-of-hearing users. Delivered a responsive UI supporting both desktop and mobile devices, validated across 3+ browser environments.
Real-Time SIBI Sign Language Recognition System
January 1, 2024 – March 1, 2024
Developed an offline desktop application to recognize Indonesian Sign Language (SIBI) gestures from live webcam input using MediaPipe for hand landmark detection and XGBoost for classification. Performed data preprocessing and feature engineering on hand landmark coordinates extracted from gesture images and video streams. Trained and evaluated the model achieving up to 99% classification accuracy across all 26 SIBI alphabet gestures. Applied the system for real-time inference, translating sign language gestures into text output on screen.
BPJS Participation Mapping in West Java Using K-Means Clustering
January 1, 2024 – March 1, 2024
Applied unsupervised machine learning (K-Means clustering) to segment regions across West Java based on BPJS health insurance participation rates, grouping them into low, medium, and high participation clusters. Processed and cleaned regional health data using Pandas, then performed exploratory data analysis to identify distribution patterns before clustering. Visualized clustering results as a geographic choropleth map of West Java using Matplotlib and Seaborn, enabling data-driven insights on regional healthcare coverage disparities. Provided actionable cluster summaries to support decision-makers in identifying underserved regions that may benefit from targeted BPJS outreach programs.
Competency Certification
PT Bakrie Pipe Industries
June 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI/ML to solve real-world problems, particularly in accessibility (SIBI sign language) and social impact (BPJS mapping). This aligns well with a culture that values innovation and impactful technology. The academic focus and limited professional experience suggest a learning-oriented individual who could integrate well into a team that supports growth and mentorship. The diversity of projects, from computer vision to clustering, indicates a broad interest in AI applications.
Soft Skills & Operational Fit
The candidate lists soft skills such as Team Collaboration, Attention to Detail, Adaptive Learning, Analytical Thinking, and Problem Solving. These are valuable for an AI Engineer role, especially in project-based environments. The volunteer experience also suggests an ability to work in a structured, collaborative setting and handle responsibilities.