Detail-oriented Graduate Engineer with a solid foundation in engineering principles. Proven ability to apply technical knowledge and problem-solving skills in challenging environments. Recognized for strong work ethic, adaptability, and effective communication. Capable of mastering new skills quickly and working independently to achieve project goals.
AI-based Anomaly Detection for Wind Turbines, Developed during final year B.Tech internship., Used Convolutional LSTM to analyze SCADA data from a 6 kW turbine for real-time fault detection., Achieved 98.76% accuracy, improving maintenance efficiency. Substation Internship, Completed during diploma last semester at 33/11 KV APSPDCL department., Gained hands-on experience in substation operations under senior supervision.