• Developed an AI-based battery health monitoring framework for substation DC and UPS systems supporting 24/7 autonomous warehouse robotics, architecting data flow from BMS to edge and cloud prediction modules.

• Built hybrid SOH/RUL models from BMS time-series data and implemented machine learning pipelines for batter degradation analysis, predictive maintenance, and failure forecasting using operational battery datasets

• Designed and tested 8+ custom PCBs, implementing design optimizations that reduced board assembly time by 30% and hardware failure rates by 25% during validation.

• Deployed a ROS2 navigation stack for autonomous mobile robots, implementing ROS2 packages (Nav2, SLAM Toolbox) and resolving 25+ node communication issues, improving path planning accuracy by 35% in obstacle-rich environments.