Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Generative AI & ML pipelines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Informatics Engineering graduate (GPA 3.66/4.00) from Universitas Brawijaya with hands-on experience in Generative AI, LLMs, RAG systems, and end-to-end ML pipelines. Experienced in building AI-powered applications using Python, HuggingFace Transformers, and cloud platforms. Proficient in prompt engineering, vector embedding retrieval, and deploying AI solutions with Docker. Holds BNSP Associate Data Scientist certification. Open to remote opportunities in Generative AI and AI engineering roles.
Universitas Brawijaya
Bachelor of Computer Science (S.Kom) · Informatics Engineering
August 1, 2022 – January 1, 2026
Intelligence Labs, Universitas Brawijaya
Research Assistant
May 1, 2025 – July 1, 2025
Malang, East Java, Indonesia
Universitas Brawijaya, Faculty of Computer Science
Laboratory Teaching Assistant, Algorithm & Data Structures
February 1, 2024 – June 1, 2024
Malang, East Java, Indonesia
Glioblastoma Detection in MRI Images using EfficientNetB0 Thesis Project
June 1, 2026 – Present
Built a deep learning pipeline using TensorFlow, Keras, and EfficientNetB0 for brain tumor classification from MRI scans. Applied transfer learning, image augmentation via OpenCV, and hyperparameter tuning to optimize model performance.
RAG-Based Pre-Interview Assistant
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) system integrating LLM with vector embedding retrieval for context-aware Q&A. Designed the full AI pipeline from document ingestion, chunking, and vector retrieval to LLM-based response generation.
View ProjectSocial Media (X) Monitoring of Rupiah Exchange Rate (NLP)
June 1, 2026 – Present
Built an end-to-end NLP pipeline analyzing 8,477+ social media posts using Indonesian RoBERTa for sentiment analysis and BERTopic for topic modeling. Deployed an interactive Streamlit dashboard with real-time crisis detection and sentiment monitoring.
View ProjectCustomer Segmentation with RFM Analysis and K-Means Clustering
June 1, 2026 – Present
Applied RFM analysis and K-Means clustering on customer transaction data to identify behavioral segments and support marketing strategy.
View ProjectSales Insights Dashboard (Power BI)
June 1, 2026 – Present
Built an interactive Power BI dashboard tracking sales KPIs and trends, transforming raw data into management-ready visualizations.
View ProjectPersonality Prediction using Machine Learning
June 1, 2026 – Present
Built a Scikit-learn classification pipeline including preprocessing, feature selection, and cross-validation evaluation.
View ProjectIntro to Data Analytics Mini Course
RevoU
May 1, 2026 – Present
Associate Data Scientist
BNSP (Badan Nasional Sertifikasi Profesi, Indonesia)
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in applying AI to various domains, from interview assistance to social media monitoring and medical imaging, indicating adaptability and a broad perspective. Their involvement in academic and organizational roles suggests a collaborative spirit and a willingness to contribute beyond technical tasks. The pursuit of certifications and diverse projects reflects a growth mindset, which is a positive indicator for cultural fit in a dynamic AI engineering environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a proactive learning attitude through diverse personal projects and academic research. Their experience as a teaching assistant suggests good communication and mentoring skills. Organizational experience indicates teamwork and event management capabilities. The candidate's focus on practical application of AI/ML concepts aligns well with an operational role.