Dec 2022 – Jul 2025 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Aug 2021 – Dec 2022 · 1 yr 4 mos · Bengaluru, Karnataka, India

Jun 2019 – Jul 2021 · 2 yrs 1 mo · Bangalore Urban, Karnataka, India

• Part of Samsung Neural Acceleration Platform (SNAP) team for acceleration/on-device deployment of Deep Neural Network
• Worked and Researched on Neural Networks Compression Frameworks; Got Experience in Software such as ArmNN
• Worked specifically in field of Quantization technique to perform inference specific optimization for DNN Framework

May 2018 – Jul 2018 · 2 mos

• Super Resolution of Images Using Deep CNN, Samsung Research Institute, Bangalore (May'2018 - July'2018):
• Analyzed existing approaches and explored SRCNN, ESPCN, SR-ResNet and SRGAN models in-depth for 4X zoom
• Implemented and benchmarked results of ESPCN and SRCNN against bicubic interpolation using MSE and SSIM
• Actualized Deep CNN model using ResNet blocks and Efficient sub-pixel layer for up-scaling using DIV2K Dataset
• Explored SRGAN to improve perceptual quality;Benchmark against other models;Studied MobileNet to reduce run-time
• Awarded Pre-Placement Offer for the role of Software Developer in lieu of outstanding work done as intern

Dec 2017 – Feb 2018 · 2 mos

• Android App Development for Augmented Communication for children with intellectual disabilities to facilitate communication and language development

May 2017 – Nov 2017 · 6 mos

• Risk Estimation of Postprandial Hypoglycemia for diabetic patients :
• Designed algorithm Using Kernel Learning and Multi-penalty Regularization to tackle postprandial hypoglycemia
• Modified algorithm using Meta-Learning Technique for obtaining local optimization of predicted blood glucose levels
• Model predicts blood glucose levels over half an hour horizon using last hour readings;Performed Error grid analysis