Operations Associate

Developed Transformer and BiLSTM models to detect black-box probing attacks, reducing the attack success rate from 93% to 1.78%. Utilized PyTorch, Pandas, NumPy, and Matplotlib. • Leveraged high-performance computing clusters to run Python GPU batch jobs in Conda and TensorFlow environments, reducing processing time by 50%. Gained proficiency in Linux and job scheduling.