• Develop Logic Data for Railway Signaling Systems using Function Block Diagram, Ladder Diagram, and Statement List on Hima Himax/Himatrix F30 and Siemens S7-1500 platforms. • Create detailed Interlocking Tables to serve as implementation references for Software Design.• Prepare interfacing data for the integration of Logic (Backend) with Human-Machine Interface (Frontend) and Centralized Train Control SCADA Systems using Modbus Server Protocol.• Integrate Himatrix F1/F2/F3 Remote IO using Safeethernet protocol and Weidmuller/Beckhoff Remote IO using Profinet/Modbus Client protocol.• Design PLC programs for Level Crossing System with Function Block Diagrams and develop web-based data loggers using Node-RED on Weidmuller UC20-WL2000-AC.• Create web-based Relay Monitoring for Platform Screen Doors utilizing Node-RED on Weidmuller UC20-WL2000-AC.• Conduct training sessions on Basic Railway Interlocking Systems for PT Kereta Api Indonesia's railway operators.• Develop documentation for the Sistem Interlocking Len 02 Next Generation (SIL02NG) Railway Signaling Logic standard.• Innovative Personal Projects:- Hima CSV Variable Auto Code Generation: Utilize Python and Qt for automated code generation.- Siemens STL and Tag Auto Code Generation: Implement automation using TypeScript and NodeJs.- AutoCAD Interlocking Table Automation: Develop AutoCAD auto-drawing for interlocking tables using Python and ActiveX API.- Automated Testing System: Create an automated testing framework based on testing documents using Python and Modbus Api.- Himatrix Rio Configuration: Reverse engineer the SILWorX IP change feature by recreating SafeEthernet data captured with Wireshark using Python and implementing socket programming.

• Flamingo SQL Project:- Create a high-quality SQL prompt focused on SQL relational tables that includes queries with multiple table joins (INNER, LEFT, RIGHT), nested subqueries, and common table expressions (CTEs). Incorporate GROUP BY with HAVING clauses and aggregate functions, as well as advanced window functions and complex CTEs. Ensure that the model can debug SQL query results effectively.- Generate and select responses: The model will produce two responses, allowing to choose the one that best addresses the prompt.- Evaluate and rank responses: Assess the quality difference between the two responses to determine which one provides a more accurate and complete answer.• Bulba Extension Project:- Evaluate LLM python API usage. - Prompt analysis: Examine the given prompt thoroughly to understand its requirements.- Code response evaluation: Analyze each code response separately to determine if the correct tools, functions, and parameters were utilized. Based on the output or any errors, assess whether the model successfully fulfilled the user’s prompt.- Side-by-side comparison: Compare the two responses directly to identify differences in quality and accuracy.- Provide justification: Write a rationale for the evaluation, explaining the strengths and weaknesses of each response.

• Stockbit trading automation using Python, Qt and selenium web driver. Scheduled trading and market filter with easy to use windows based user interface. • The Android app scraping project involves extracting data on fare per trip from ride-hailing platforms such as Gojek and Grab. This automation is implemented using Python, Appium, and other relevant applications.• AI Global Fleet: Train and evaluate LLM.

• Analyze electronics circuit, electrical installation of a handphone hardware• Testing and repairing Not Good PCB from Line Assembly Production, Reporting• Summarize defected component.

Working on projects to make an energy measurement device for electronic equipment, product presentation, site survey, etc.

Study and maintain of motor generator, wind turbine control system, data logger, battery management system and biogas system.

Working in electrical sub assembly for aircraft panel system. Cable management, assemble the component and tracking error of electrical panel.