Akshay Raina
Summary
🤩
RockstarAkshay 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
Github Skills (13)
open-source10
multilingual10
content-repository10
documentation10
foundation10
audio-processing8
ranking8
science7
react7
computer-science6
deep-neural-networks4
machine-learning3
classification-algorithm2
Programming languages (2)
Github contributions (5)
madhavlab/2022_syncnet
Mar 2022 - Jan 2023
SyncNet for Time Synchronization
Contributions:9 commits, 2 pushes in 10 months
audio-processingdeep-neural-networkstime-delay-estimationtime-synchronizationcorrelation-based-objective-function
raina-akshay/CMPR_HEART
Jan 2021 - May 2021
This is a Python- based implementation of various (at least 10) Research Studies/ Articles/ proposals already published on the task of heart disease prediction using Machine Learning and accomplishment the same results.
Contributions:23 commits, 1 PR, 18 pushes in 3 months
machine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.