I am a graduate student at the University of Southern California, pursuing MS in Electrical and Computer Science Engineering. I will be graduating in May 2021. I am majoring in computer vision and machine learning. I am looking for spring coop and full-time positions in the fields of computer vision/ machine learning/ deep learning/image processing/ data science/ software development. I am working as a teaching assistant for 'Applications of machine learning', a research assistant at IMSC (multimedia and big data) and a research programmer at Marshall Business School(NLP and big data). I have been doing directed research on MRI image translation(Deep learning and MRI data) since January 2020.
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Experience
Qualcomm, Bangalore
Worked from 2017-2019 at Qualcomm in RF Analog team as a Layout design engineer. Used machine learning algorithms to automate CAD tool and tasks. Designed and implemented layouts of 5G/4G/LTE transceiver circuits on 14/28 nm technology nodes.
Robert BOSCH, Bangalore
Interned at BOSCH for 4 months in embedded engineering. Understood SDLC and CI/CT. Worked on sensor addition starting from algorithm design to code implementation and testing on ECU.
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Projects
Video browser search engine - Built a novel video browser search engine on V3C1 data using concepts of computer vision, NLP, text processing and retrieval. Paper presented on this has been accepted.
MRI image translation - Developed a model to translate MRI weighted images to T2/T1 from T1/T2 using CycleGAN.
Topic modelling - Used LDA and K means for topic modelling of various institutions.
3D image reconstruction - SFM pipeline constructed for 3D scene reconstruction from 2D images.
Semantic segmentation on KITTI dataset - An application for autonomous driving application.
Detectron on object tracking and identification - Facebook research's detector2 was used on PASCAL-VOC for object detection.