Mechanical Engineer focused on AI Optimization, CAD/CAM & Robotics.

Worked in the Planning department within the Construction Division, gaining exposure to construction project scheduling, engineering documentation, QA/QC records, SAP workflows, and progress tracking.

• Assisted in updating construction project schedules, tracking delay events, and managing activity relationships through predecessors and successors using Primavera P6.
• Organized and analyzed complex project data within Microsoft Excel, building interlinked multi-sheet formulas to manage Pre-Qualification Information (PQI) sheets and Project Summary Sheets (PSS) for progress tracking.
• Interpreted and organized multi-disciplinary engineering layouts, including mechanical piping, civil drawings, electrical systems, and Top Sheets, segregating them systematically by project location and discipline.
• Executed cost center data entry to classify and track ongoing project expenses against active budgets while reviewing planning and QA/QC documentation to ensure compliance with engineering standards.

Worked on a NESCOM-sponsored development project focused on AI-driven multi-objective optimization for sustainable CNC milling.

• Developed an AI-driven multi-objective optimization system and GUI for sustainable CNC milling as part of a NESCOM-sponsored development project.
• Generated a dataset of 13,000+ CREO CAM simulation iterations across 30+ unique prismatic part geometries to train an XGBoost regression model for machining time prediction.
• Integrated the predictive machine learning model with physics-based analytical equations for surface roughness and energy consumption.
• Utilized the NSGA-II algorithm alongside a custom 8-material database to automate optimal spindle speed, feed rate, and depth of cut recommendations to minimize cycle times and operator dependency.