Software Engineer
Current• Enhanced the U-Net model for precise region detection within Engineering Drawings, achieving an impressive accuracy level of 93%.• Designed and implemented a comprehensive MS-SQL database architecture ensuring efficient storage, retrieval, and management of critical data.• Achieved notable downtime reduction and cost savings by implementing XG-Boost for predicting device failures.• Orchestrated the successful migration of the codebase from TensorFlow 2.0 to PyTorch 2.0, resulting in a 20% acceleration in processing speed and notable improvements in project efficiency.• Developed and implemented Fast API solutions to ensure seamless data transfer to front-end applications, enhancing user experiences.