Anjali Agarwal
Research Specialist at The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University- Claim this Profile
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English Professional working proficiency
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Hindi Native or bilingual proficiency
Topline Score
Bio
Credentials
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Neuromatch Academy - Deep Learning
Neuromatch AcademyAug, 2021- Oct, 2024 -
Neuromatch Academy - Computational Neuroscience
Neuromatch AcademyJul, 2021- Oct, 2024 -
BCI & NEUROTECHNOLOGY SPRING SCHOOL 2021
g.tec medical engineering GmbHApr, 2021- Oct, 2024 -
Deep Learning Specialization
Coursera Certified CoursesOct, 2020- Oct, 2024 -
Image Processing using Matlab
Indian Institute Of Information TechnologyDec, 2017- Oct, 2024
Experience
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The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
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United States
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Biotechnology Research
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100 - 200 Employee
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Research Specialist
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Jan 2023 - Present
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Tata Research Development and Design Centre (TRDDC)
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India
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Research Services
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100 - 200 Employee
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Researcher
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Sep 2020 - Jan 2023
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Nanyang Technological University Singapore
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Singapore
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Higher Education
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700 & Above Employee
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Research Assistant
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Nov 2019 - May 2020
Worked on a project, under the guidance of Prof. Chng Eng Siong to classify subjects as guilty or innocent based on ocular data extracted from subjects while going through a Q&A session about a mock crime. Worked on a project, under the guidance of Prof. Chng Eng Siong to classify subjects as guilty or innocent based on ocular data extracted from subjects while going through a Q&A session about a mock crime.
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ApexPlus Technologies
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India
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Defense and Space Manufacturing
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1 - 100 Employee
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Summer Intern
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May 2019 - Jul 2019
Worked on various modes of wired communication, Ethernet and UART. Incorporated GMII Communication for packet decoding project. Improvised the communication system for more speed and throughput. Implemented a C based hardware programming using a tool flow kit called Chips 2.0. Worked on various modes of wired communication, Ethernet and UART. Incorporated GMII Communication for packet decoding project. Improvised the communication system for more speed and throughput. Implemented a C based hardware programming using a tool flow kit called Chips 2.0.
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Ignitarium
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India
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Semiconductors
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300 - 400 Employee
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Summer Intern
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May 2018 - Jul 2018
Designed a Machine Learning based Defect Detection application using convolutional neural networks. Also, ported the application to an FPGA for better speed and accuracy. Designed a Machine Learning based Defect Detection application using convolutional neural networks. Also, ported the application to an FPGA for better speed and accuracy.
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Education
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Indian Institute of Technology, Palakkad
Bachelor of Technology - BTech, Electrical and Electronics Engineering -
Girls' High School & College, Allahabad
12th, PCM -
Girls' High School & College, Allahabad
10th, 90.4%