
Muhamad Jafar Rahadian
Full-Stack Web Application Developer & AI/Machine Learning Engineer Intern
at PT. Astra Visteon Indonesia.
Recent Informatics Engineering graduate with strong expertise in Machine Learning and Full-Stack Web Development. Skilled in developing AI-driven solutions, data analysis workflows, and end-to-end web applications. Proficient in Python (TensorFlow, Scikit-learn, Pandas, NumPy), SQL databases (MySQL, PostgreSQL, SQL Server, SQLite), and containerization with Docker.
Experienced in building responsive frontends with Next.Js, Laravel 12, and CI4, and developing backend systems with PHP and Fast API Python at PT. Astra Visteon Indonesia, contributed to projects involving AI, process automation, and system development, delivering measurable improvements in efficiency and performance. A fast learner with a passion for innovation, committed to leveraging technology to create impactful solutions.
Stocks and Cryptocurrencies Prediction using LSTM, GRU, and CNN 2D
An interactive web application built with Streamlit to analyze historical stock price data, train various machine learning models (LSTM, CNN, GRU) for price prediction, perform automated hyperparameter tuning, and compare model performance. The application also features model caching to accelerate loading and automated weekly training workflows powered by GitHub Actions.
Automated and Centralized RFQ System
Developed an automated RFQ email system to streamline vendor communication and status tracking, boosting operational efficiency by up to 50%
Skills I have acquired and developed throughout my professional career
Developing predictive models and AI-driven solutions using Python, TensorFlow, PyTorch, and Scikit-learn to solve complex business problems.
Building responsive and end-to-end web applications with modern frameworks like Next.js, Laravel 12, and Fast API Python.
Engineering automated systems, such as RFQ email and internal-claim workflows, proven to increase operational efficiency by up to 50%.
Proficient in data analysis workflows using Pandas and NumPy, with strong expertise in managing SQL databases like Microsoft SQL Server, MySQL, and PostgreSQL.
Creating intelligent systems including AI chatbots and ML-based monitoring solutions to enhance information retrieval and reduce failure risks.
Skilled in using Docker for containerizing applications, ensuring consistent development environments and simplifying deployment processes.