About Me
Instrumentation Physics graduate with strong interest in data science, AI/ML engineering, and web development. Experienced in processing, analyzing, and visualizing data, building end-to-end AI and Machine Learning, and developing full-stack web application.
Education(s)
Universitas Indonesia
Jul 2019 – Jan 2024
Bachelor of Science in Instrumentation Physics
GPA: 3.50/4.00 (Very Satisfactory)
Relevant coursework: Computational Physics, Electronics, Digital Signal Processing, Computer-Based Data Acquisition, Control Systems, Embedded Systems, Sensors and Actuators
Thesis: Design and Development of a Non-Invasive Vital Signs Monitoring System on an IoT-Based Wheelchair
dibimbing.id
Jun 2025 – Dec 2025
AI & Machine Learning Engineer Program
Score: 97.29/100.00 (A+)
Coursework: Python, SQL/NoSQL, Statistics, Data Preparation, Exploratory Data Analysis, Machine Learning, Deep Learning, Generative AI, MLOps
Final project: AI-Powered YouTube Spam Comment Remover
Awards: Best Final Project, Most Valuable Person (MVP)
Experience(s)
PT Sugitama Intiarto
Jun 2022 – Jul 2022
PLC Programmer Intern
- Developed Schneider Electric PLC and HMI system for a wafer machine (creaming, stacking, stamping stages) and a PID-controlled boiler machine.
Universitas Indonesia Robotics Team
Mar 2020 – Mar 2021
Mechanical Division, KRSBI Beroda
- Engineered and maintained mechanical systems for keeper and striker robots.
- Participated in the 2021 Indonesian Robot Contest.
Highlighted Project(s)
AI-Powered Public Complaint System (LaporMas)
Web app public complaint platform integrated with fine-tuned IndoBERT models for automated spam detection and complaint classification.
Tech stack: Python, HTML, CSS, JavaScript, FastAPI, SQLModel, SQLAdmin, PostgreSQL, PyTorch, Hugging Face Transformers, ONNX Runtime, Docker, AWS Lightsail
RAG for PDF Question Answering
Local web app RAG app for querying PDF document.
Tech stack: Python, HTML, CSS, JavaScript, FastAPI, LangChain, LangGraph, PyMuPDF, Sentence Transformers, Qdrant, Docker
AI-Powered YouTube Spam Comment Remover
Desktop app for detecting and removing YouTube spam comments using a fine-tuned IndoBERT model and authenticated YouTube API integration.
Tech stack: Python, Tkinter, PyInstaller, PyTorch, Hugging Face Transformers, ONNX Runtime, YouTube Data API
End-to-End MLOps Pipeline for Classification Model
End-to-end MLOps pipeline demonstrating production-oriented practices across data preprocessing, model training, evaluation, inference, monitoring, and deployment.
Tech stack: Python, Pandas, scikit-learn, MLflow, Evidently AI, Docker
AI-Powered Meeting Transcriber
CLI application for meeting transcription and summarization, combining Whisper-based speech recognition with a PEFT LoRA fine-tuned T5 model for generating summaries.
Tech stack: Python, PyTorch, Whisper, Hugging Face Transformers, PEFT (LoRA), Docker
Skill(s)
Programming
Python, SQL, JavaScript, C++, MATLAB, HTML, CSS, LaTeX
AI/ML & Data Science
NumPy, Pandas, Matplotlib, scikit-learn, OpenCV, YOLO, PyTorch, Sentence Transformers, Hugging Face Transformers, PEFT (LoRA/QLoRA), ONNX Runtime, LangChain, LangGraph, MLflow, Evidently AI
Backend
FastAPI, Pydantic, SQLModel, SQLAdmin
Cloud & DevOps
AWS (EC2, S3, RDS, Lightsail), Docker, GitHub Actions
Databases
SQLite, PostgreSQL, Qdrant
Tools
Git, VS Code, Jupyter Notebook, Postman, DBeaver, Microsoft Office
Languages
Indonesian, English
Certification(s)
AWS Certified Cloud Practitioner
Jul 2026
Amazon Web Services
Microsoft Certified: Azure Fundamentals
Jun 2025
Microsoft
Alibaba Cloud Certified Associate
Aug 2024
Alibaba Cloud