Experience

Graphen

• United States
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Jan 2023 - Present

• Data Science Intern

  • May 2022 - Dec 2022



Columbia University in the City of New York

• Higher Education
• 1 - 100 Employee

• Graduate Research Assistant

  • Jan 2022 - Jun 2022

  Multimodal Sentiment Analysis at the DVMM Lab under the supervision of Dr. Chris Thomas and Prof. Shih-Fu Chang

• Graduate Teaching Assistant

  • Sep 2021 - Dec 2021

  - Teaching Assistant for COMS 6998.11: 'Fundamentals of Speech Recognition' taught by Prof. Homayoon Beigi.



5G Testbed, Indian Institute of Science

• Project Associate

  • Aug 2020 - Aug 2021

  - Led the effort to implement a 5G RAN disaggregation standard (nFAPI) that splits the gNB at the MAC-PHY interface into two separate network nodes. - Integrated nFAPI with the open-source RAN of OpenAirInterface (OAI), and ensured no degradation in throughput and data accuracy between gNB-UE while using nFAPI. - Demonstrated running a gNB-UE system with the gNB running as two separate network nodes at the 5G Workshop conducted by IISc. - Test design for the OAI CI test-bench to ensure… Show more - Led the effort to implement a 5G RAN disaggregation standard (nFAPI) that splits the gNB at the MAC-PHY interface into two separate network nodes. - Integrated nFAPI with the open-source RAN of OpenAirInterface (OAI), and ensured no degradation in throughput and data accuracy between gNB-UE while using nFAPI. - Demonstrated running a gNB-UE system with the gNB running as two separate network nodes at the 5G Workshop conducted by IISc. - Test design for the OAI CI test-bench to ensure continued health of nFAPI in the open-source project. Show less - Led the effort to implement a 5G RAN disaggregation standard (nFAPI) that splits the gNB at the MAC-PHY interface into two separate network nodes. - Integrated nFAPI with the open-source RAN of OpenAirInterface (OAI), and ensured no degradation in throughput and data accuracy between gNB-UE while using nFAPI. - Demonstrated running a gNB-UE system with the gNB running as two separate network nodes at the 5G Workshop conducted by IISc. - Test design for the OAI CI test-bench to ensure… Show more - Led the effort to implement a 5G RAN disaggregation standard (nFAPI) that splits the gNB at the MAC-PHY interface into two separate network nodes. - Integrated nFAPI with the open-source RAN of OpenAirInterface (OAI), and ensured no degradation in throughput and data accuracy between gNB-UE while using nFAPI. - Demonstrated running a gNB-UE system with the gNB running as two separate network nodes at the 5G Workshop conducted by IISc. - Test design for the OAI CI test-bench to ensure continued health of nFAPI in the open-source project. Show less



The University of Edinburgh

• United Kingdom
• Research Services
• 700 & Above Employee

• Visiting Researcher

  • Aug 2019 - Dec 2019

  - Simulated 3D wave propagation for audio and virtual acoustics applications. - Studied effects of numerical sound propagation on order of accuracy, system stability, shifting of modal frequencies, and various other perceptual metrics. - Algorithm design for wave propagation using the Discontinuous Galerkin method. - Conducted theoretical analysis of interaction between point acoustic source and sound field. - Simulated 3D wave propagation for audio and virtual acoustics applications. - Studied effects of numerical sound propagation on order of accuracy, system stability, shifting of modal frequencies, and various other perceptual metrics. - Algorithm design for wave propagation using the Discontinuous Galerkin method. - Conducted theoretical analysis of interaction between point acoustic source and sound field.



Indian Institute of Science (IISc)

• India
• Research
• 700 & Above Employee

• Research Internship

  • May 2018 - Jul 2018

  - Developed Automatic Speech Recognition (ASR) systems with the Kaldi framework to use articulatory information for recognition of neutral and whispered speech. - Designed and conducted experiments to quantify usefulness of articulatory data for ASR in various train-test conditions. - Showed performance improvement of 18% in mismatched train-test conditions, and presented results at ICASSP 2019. - Developed Automatic Speech Recognition (ASR) systems with the Kaldi framework to use articulatory information for recognition of neutral and whispered speech. - Designed and conducted experiments to quantify usefulness of articulatory data for ASR in various train-test conditions. - Showed performance improvement of 18% in mismatched train-test conditions, and presented results at ICASSP 2019.



North Eastern Space Applications Centre (NESAC)

• India
• Government Administration
• 100 - 200 Employee

• Project Intern

  • May 2017 - Jul 2017

  - Developed a system pipeline for image segmentation and object-based image classification of high-resolution satellite imagery. - Developed a system pipeline for image segmentation and object-based image classification of high-resolution satellite imagery.