Feb 2022 – Feb 2022 · 0 mo

• Among the 150 select candidates from India and Singapore to attend and participate in the 4-day AI symposium by Google Research

Aug 2021 – Apr 2022 · 8 mos

• Examining natural adversaries affecting the deep neural computer vision models

Jan 2021 – Mar 2022 · 1 yr 2 mos

• Elevating the limited potential of ICU data vitals in predicting hemodynamic shock due to lack of generalization by bridging the gap across age-groups, ICU settings, geographies, and non-real-time settings by Deep Learning methods

Oct 2020 – Jul 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India

• Vehicle behavior and trajectory prediction through Graph Neural Networks (GNNs)
• Building and scaling an end-to-end framework to assess deep learning based perception and fusion algorithms for large scale drive data at Level-4 driver automation

Feb 2020 – Jul 2020 · 5 mos · Product Labs

• Worked with Product Labs to solve the road accident problem (accounting to 64.4% of total deaths in India); in association with Bihar Government
• Segmented out various kinds of possibly fatal defects on the road using YOLO, ERF-Net, and UNet, and categorising them out from an image/video and mapping it with their real time location

Jan 2019 – Jul 2020 · 1 yr 6 mos · TavLab/MEDAIM

• Leveraged thermal imaging information as a non-invasive, non-contact feature to predict the advent of Hemodynamic Shock accurately till the next 6 hours from the time of observation taken using end-to-end Computer Vision and Deep Learning methods
• [In association with AIIMS]
• http://tavlab.iiitd.edu.in

Jun 2017 – Jul 2017 · 1 mo · New Delhi Area, India

• Was among the 22 students pan India selected under the GIPEDI
• Worked on Optical Character Recognition (OCR) using correlation
• Performed preprocessing, segmentation and feature extraction on the given text
• and performed classification using matching and correlation

Aug 2016 – Feb 2017 · 6 mos

• Assisted the Training and Placement Cell in IGDTUW in bringing the recruiting companies to the campus
• Provided the recruiting teams with necessary arrangements when on campus

Jun 2016 – Jul 2016 · 1 mo

• Research Intern at Solid States Physics Laboratory of DRDO
• Worked on correcting the non-uniformity caused by the infrared detector sensors by adjusting their offsets and gains
• Two-point correction used for correcting the non-uniformity pixel by pixel, using matrix operations and by finding out a correction factor

Aug 2015 – Jun 2016 · 10 mos

• "Prekshya: Photography Society of IGDTUW" is an initiative taken up by the photography enthusiasts in IGDTUW for enhancing and encouraging photography skills
• Led a team of photography enthusiasts to share and exchange the domain knowledge
• Organised successful photography exhibitions, various photo-walks and in-house photography contests