Mageswaran Dhandapani

Associate Architect

Coimbatore, Tamil Nadu, India
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Summary

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Senior
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Top School
Mageswaran Dhandapani is an Associate Architect with 12 years of experience building end-to-end data and ML systems, evolving from embedded and Android middleware into large-scale data engineering and deep learning. He has architected and productionized Apache Spark pipelines across healthcare, patent documents and geospatial domains, and built YAML-configurable data quality frameworks, EMR monitoring tools, and CI/CD integrations. On the data science side he has delivered LDA topic models, document information-extraction with OCR and BiLSTM/Transformer NER, and served models via AWS Lambda and Kubernetes. Earlier work in embedded C/C++ and OpenCL includes notable open-source contributions to boostorg/compute that integrated OpenCV-based optical flow and convolution examples. Comfortable bridging low-level systems and cloud-native data platforms, he focuses on scalable, modular pipelines and reproducible ML deployments.
code12 years of coding experience
job10 years of employment as a software developer
bookVivek Vidhyalaya Matric Higher Secondary School, Kinathukadavu
bookBachelor's degree, Electronics and Instrumentation Engineer, 82%, Bachelor's degree, Electronics and Instrumentation Engineer, 82% at Karunya University
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Github Skills (13)

opencl10
opencv10
c-language10
gpgpu10
computation10
gpu10
cprogramming-language10
image-processing10
accelerated-computing10
boost9
cpp9
strings8
text-manipulation8

Programming languages (12)

HCLTypeScriptSmartyJavaC++RustScalaJavaScript

Github contributions (5)

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boostorg/compute

May 2014 - Dec 2014

A C++ GPU Computing Library for OpenCL
Role in this project:
userFull-stack Developer
Contributions:15 commits in 6 months
Contributions summary:Mageswaran contributed significantly to the `boostorg/compute` library, specifically focusing on integrating OpenCV functionalities. Their work involved adding examples that demonstrate optical flow and convolution algorithms using OpenCL and OpenCV integration. They also enhanced the library by adding support for grayscale images and grey images, as well as including a histogram example and several features in string class such as find and swap.
cudacppgpuc-plus-plusperformance
gyan42/mozhi

Jul 2021 - Apr 2022

Contributions:26 commits, 22 pushes, 1 branch in 9 months
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Mageswaran Dhandapani - Associate Architect