Software Engineer
Current- Developed NLP Pipeline with TensorFlow: Created a machine learning pipeline using TensorFlow for classifying aircraft maintenance actions from text inputs, deployed using Apache Spark on Big Data platform. Improved.
- Contributed to MVP Development of Java Application: Assisted in developing an MVP for a Java application aimed at calculating aircraft loads under various scenarios. Managed customer feedback, addressed bugs, and.
- Enhanced Trajectory Optimization Algorithms: Led the update of graph algorithms used in aircraft trajectory optimization. Developed a new algorithm to streamline the graph structure, reducing complexity without losing.
- Optimized Aeroelastic Solvers with Python: Designed a Python toolset to enhance the performance of a time-marching aeroelastic solver through modal decomposition, maintaining accuracy while reducing memory usage.
- Quantified Flight Data Uncertainty: Conducted analysis on high-resolution flight test data, quantifying uncertainty and its impact on numerical models, enhancing model reliability and decision-making processes.