Leverage AI to improve existing electronic design automation flows (i.e., enable a seamless and faster deployment of AI models on hardware devices).

Project: SmartClass AI • Multi-class classification problem resolved using machine learning and deep learning techniques • AWS S3, AWS Sagemaker Project: NLP@RI • Leading the project • Information Retrieval and NLP tasks • Applied classification models (using Hugging Face Libraries) • Entailment Mapping (using Hugging Face Libraries)

Project: Adverse Event Detection Engine Responsibilities: • Data Engineering & Data Analysis • Machine Learning (Logistic Regression, SVM, randomforest) (Binary classification and tagger) • Deep Learning (BiLSTM, CRF, BERT) (Binaryclassification and tagger) • Used oversampling techniques to improve imbalanced dataset performance (SMOTE) • OOP and Command-Line Interface Project: BI DLM (Business Intelligence Data Life Cycle) Responsibilities: • Data Migration: Writing python scripts as middlewarebetween Talend & SAP • Data Analysis • Python-based project, AWS S3