Experience

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  Iiitdm kancheepuram

  May 2019 - Jul 2019

  Research and development intern

  - Conducted background research on various methods available for detection of brain tumors from MRIimages.- Worked on gathering data to build the required dataset for building a model and implemented variousimage process techniques using openCV and other python packages.- Implemented various machine learning techniques including DNN, CNN, Random Forest with AdaBOOST,etc.., with different model paradigms.- Fine Tuned the model to increase the optimum utilization of memory resources and evaluated themodel on various metrics and visualized the model metrics and documented the findings. Show less

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  Iet, atc of cdac acts, pune

  May 2020 - Aug 2020

  Research intern

  - Developed a prototype of customized deep learning models based on CNN architecture for theidentification of the COVID-19 detections using the Chest X-rays.- Implemented techniques like data augmentation, transfer learning for enhancing the modelperformance due to unavailability of open source datasets.

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  Carelon global solutions

  Jun 2021 - now

  Associate software engineer - nlp

  - Responsible for developing sentiment and topic classification models for user reviews from diverse data sources using a multi-model approach that combined rule-based, similarity search, and machine learning models. - Utilized transformer-based models such as MPNet and BERT to generate embeddings for reviews, which were used as inputs to robust machine learning models like Support Vector Machines, Logistic Regression and XGBoost for sentiment and topic classification. - Developed a similarity-based prediction model using the FAISS library, which used generated embeddings as a feature store and fast indexing search for lookup. - Leveraged AWS Sagemaker to fine-tune the transformer-based model, resulting in more efficient contextual review embeddings and enhanced model performance. Show less