Akshay Raina
Jammu and Kashmir, India
Summary
🤩
Rockstar🎓
Top SchoolAkshay Raina is an MS (by Research) student in Electrical Engineering at IIT Kanpur with six years of hands-on experience in signal processing, machine learning, and deep learning. He has contributed to research on label propagation, sound event detection, and high-precision temporal synchronization at MADHAV Lab, building practical algorithms for real-world audio and sensor data. Earlier roles include CV and statistical modelling projects during his undergraduate research and applied work on COVID-19 detection from chest X-rays and power grid load/fault prediction using deep learning. Comfortable with Python, MATLAB, AWS EC2, and deploying ML pipelines, he bridges theoretical research and applied engineering. Based in Jammu and Kashmir, he combines academic rigour with industry-focused internships, often tackling noisy, real-time datasets. Peers describe him as detail-oriented with a knack for translating signal-level insights into robust ML solutions.
6 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology KanpurBachelor of Technology - BTech, Electrical Engineering, Bachelor of Technology - BTech, Electrical Engineering at Shri Mata Vaishno Devi University
English, Hindi
Github Skills (22)
multilingual10
foundation10
open-source10
content-repository10
documentation10
ranking9
science8
computer-science7
react7
breast-cancer2
logistic-regression2
prediction2
knn-classification2
classification1
svm1
Programming languages (2)
Github contributions (5)
madhavlab/2022_syncnet
Mar 2022 - Jan 2023
Contributions:9 commits, 2 pushes in 10 months
raina-akshay/CMPR_HEART
Jan 2021 - May 2021
Contributions:23 commits, 1 PR, 18 pushes in 3 months
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