About

Aditya Mishra is a Machine Learning Engineer at PayPal with 1.61 years of relevant experience. He has worked as a Software Engineer Intern at PayPal, where he enhanced the Named Entity Recognition Pipeline for swifter identification of PII elements listed by GDPR. Aditya used knowledge distillation based ALBERT to decrease the size of the existing ML model for the NER task. He pruned the model for decreasing inference times and better fine-tuning/training of the model. He also quantized the model weights to improve inference times of NER based PII data identification. Aditya also built an Audio to Text processing pipeline and identified PII elements in generated transcripts using the webrtcvd library to identify voice activity and silences. He segmented large audio files based on silence occurrences, applied fast Fourier transform, and converted audio into Mel-spectrogram. Using Nvidia's quartznet model, he converted speech frequencies found in Mel-spectrogram to transcripts and identified PII data in transcripts using NER based pipeline. Aditya has also worked as an undergraduate Teaching Assistant for the course CS F342 Computer Architecture at Birla Institute of Technology and Science, Pilani, under Prof. Kanchan Manna in semester 1 of academic year 2021-2022. He provided academic assistance to the class of 200+ students and graded evaluative labs of more than 200+ students. Aditya also provided feedback and guidance to more than 200+ submissions. Aditya holds a Bachelor of Engineering degree in Computer Science from Birla Institute of Technology and Science, Pilani, which he completed in January 2022. He also completed his schooling from Delhi Public School in 2017. Aditya's technical skills include Machine Learning and Software Engineering. He is a proactive learner and has a passion for keeping up with the latest developments in his field. Aditya is a team player who enjoys collaborating with others to solve complex problems and deliver high-quality results.