NLP Research
About
I combine research-driven AI engineering with leadership and civic-tech experience.
I build practical machine learning models, including edge-deployable computer vision systems and LLM agents. My research interests include Large Language Models, Natural Language Processing, Retrieval-Augmented Generation, AI Agents, and Computer Vision.
Skills
Technical skills across machine learning, data, and automation.
PythonSQLPyTorchTensorFlowscikit-learnOpenAI APIRAG SystemsSupabaseGoogle Cloud PlatformWeb ScrapingTransfer LearningSentiment Analysis
Selected Research & Projects
Applied AI projects with measurable outcomes.
Agentic Automation
AI WhatsApp Customer Assistant
Led a 5-person team to build an assistant for PT Inspeksi Mobil Jogja using n8n, Supabase, WhatsApp Cloud API, and a lightweight RAG system.Computer Vision
HealthyHen Poultry Disease Detection
Co-authored research using EfficientNetV2-S for fecal image analysis, achieving 91.75% classification accuracy for early poultry disease identification.Medical Imaging
Tuberculosis X-Ray CAD System
Implemented a GLCM and SVM-based Computer-Aided Diagnosis system with 84.25% accuracy and 86.67% specificity on the TBX11K dataset.Professional Experience
Leadership and data work across campus organizations.
May 2025 - Present
Data Analyst - Research and Development
BEM KM UGMBuilds data pipelines for civic-tech advocacy analytics and produces visual reports for organizational decision support.Dec 2025 - Present
Senior Staff of Data Science & AI
OmahTI UGMParticipates in ML training, competitions, and model-building exercises across supervised learning, EDA, and RAG mini-projects.Dec 2025 - Present
Activation
Google Developer Group on Campus UGMHandles end-to-end execution of internal initiatives and external collaborations.Jan 2026 - Present
Head of Public Relation
OmahTI UGMManages partnerships, relations, and inter-organization initiatives.Jan 2026 - Present
Head of Events
Komunitas Mahasiswa TIK UGMManages and conducts initiative events at internal and external levels.Jan 2025 - Jan 2026
Project Staff
AIESEC in UGMDesigned research-based volunteer development programs aligned with SDG 8 and community economic insights.Education
Academic foundation in computer science and AI.
Universitas Gadjah Mada
BS, Computer Science2024 - Present | Sleman, Yogyakarta
CGPA 3.83/4.00 with a relevant focus on Artificial Intelligence and Data Science.SMA Negeri 4 Semarang
Mathematics and Natural Sciences2021 - 2024 | Semarang, Central Java
Grade 93.28/100. Ranked 1st in class for 5 semesters and top 18/324 in final year.Certifications
Continuous learning in machine learning and visualization.
Machine Learning Fundamentals - Dicoding (2024-2027)Start Programming with Python - Dicoding (2024-2027)Basic Data Visualization - Dicoding (2024-2027)
Contact
Open to research, collaboration, and applied AI projects.
Based in Yogyakarta. Reach out by email or phone for opportunities and collaborations.