Experience

Curium

• Marketing Services

• Research Intern

  • Feb 2023 - Present

  • Developing 3D point cloud based Object Detection networks for Human Sensing from overhead LiDAR sensors • Optimizing the model for real-time performance on an embedded system • Building MLOps pipelines on AWS for model training, evaluation and deployment on edge devices • Developing 3D point cloud based Object Detection networks for Human Sensing from overhead LiDAR sensors • Optimizing the model for real-time performance on an embedded system • Building MLOps pipelines on AWS for model training, evaluation and deployment on edge devices



A*STAR Research

• Singapore
• Research Services
• 1 - 100 Employee

• Research Student Attachment

  • Nov 2022 - Present

  • Developed a soft probability based ensembling technique for cross-subject Motor Imagery decoding from EEG signals for non-invasive Brain-Computer Interfaces. Achieved a 2% increase in average accuracy over subject-specific models • Built an open-source toolbox to train and evaluate Neural Networks for EEG decoding, enabling easy config-driven and reproducible experiments • Developed a soft probability based ensembling technique for cross-subject Motor Imagery decoding from EEG signals for non-invasive Brain-Computer Interfaces. Achieved a 2% increase in average accuracy over subject-specific models • Built an open-source toolbox to train and evaluate Neural Networks for EEG decoding, enabling easy config-driven and reproducible experiments



Intuit

• United States
• Software Development
• 700 & Above Employee

• Software Engineer 2

  • Feb 2022 - Jul 2022

  • Designed React components for customer marketing on the TurboTax frontpage and conducted A/B testing to increase user sign-ups by 20% during my tenure• Designed and implemented a highly scalable and available GraphQL API for user review caching and display, serving over 100M monthly users• Implemented data ingestion pipelines using JavaScript and Spring Boot to train ML models for user experience personalization through collaborative filtering

• Software Engineer 1

  • Aug 2020 - Feb 2022

• Software Engineer Intern

  • Jan 2020 - Jul 2020



University of Hyderabad

• India
• Higher Education

• Research Fellow

  • Jun 2019 - Aug 2019

  Worked as a Summer Research Fellow at the University of Hyderabad as part of the Summer Research Fellowship Programme organised by the Indian Academy of Sciences. - Developed a large dataset for handwritten Telugu characters using Image Segmentation techniques. - Implemented a CNN with an attention-based LSTM decoder for Optical Character Recognition and pubilshed a paper on the same. Worked as a Summer Research Fellow at the University of Hyderabad as part of the Summer Research Fellowship Programme organised by the Indian Academy of Sciences. - Developed a large dataset for handwritten Telugu characters using Image Segmentation techniques. - Implemented a CNN with an attention-based LSTM decoder for Optical Character Recognition and pubilshed a paper on the same.



JNResearch

• Research Intern

  • Jun 2018 - Aug 2018

  • Trained and tested a robust Region Proposal Network for a Faster R-CNN model for word segmentation on printed documents, used for invoice processing and achieved 98% recall on unseen invoices • Built a data augmentation pipeline for Optical Character Recognition by adding different types of noise, skew, jitter, etc using OpenCV in Python • Trained and tested a robust Region Proposal Network for a Faster R-CNN model for word segmentation on printed documents, used for invoice processing and achieved 98% recall on unseen invoices • Built a data augmentation pipeline for Optical Character Recognition by adding different types of noise, skew, jitter, etc using OpenCV in Python