Jaideep Murkute
Graduate Research Assistant - VisualDX
India
Summary
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Top SchoolJaideep Murkute is a machine learning-driven software engineer with a Master’s in Computer Science and eight years of industry and research experience spanning production SAP systems to medical AI. He has led research projects at RIT that improved skin-lesion classification accuracy by 12% and produced a Bayesian neural network to quantify model uncertainty, achieving a 96% F1 score to reduce misdiagnosis risk. His work in computational biomedicine includes a state-of-the-art ECG segmentation model with a 98.7% Dice score and a VAE-enabled pipeline that boosted signal localization accuracy. Prior industry roles at Accenture gave him solid SDLC, cloud (AWS EC2), CI/CD and automation experience, plus high-volume customer support and deployment ownership. Comfortable bridging research and production, he combines deep-learning experimentation (self-supervision, attention, generative pretraining) with practical engineering discipline. Actively seeking full-time roles as an ML Engineer, Data Scientist, or Software Developer, he brings a rare blend of clinical-focused ML results and enterprise-grade delivery experience.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Rochester Institute of TechnologyBachelor of Engineering (BEng), Information Technology, Bachelor of Engineering (BEng), Information Technology at Sinhgad College of Engineering
English, Hindi, Marathi
Github Skills (45)
javascript10
trailing10
open-source10
nse9
pandas9
python9
indices9
data-structures8
data-analysis8
frame8
manipulation8
historical8
data-science8
feature-extraction7
dataframes7
Programming languages (2)
Github contributions (5)
jaideepmurkute/ECG-Signal-Segmentation-With-Hidden-Markov-Models
Oct 2018 - Feb 2021
Contributions:11 commits, 10 pushes in 2 years 3 months
Contributions:16 commits, 16 pushes, 1 branch in 2 years 6 months
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