Rajiv Sambasivan
Machine Learning Engineer at Rinse and Repeat Data Science
Chennai, Tamil Nadu, India
Summary
👤
Senior🎓
Top SchoolRajiv Sambasivan is a machine learning engineer and data scientist with over 25 years of cross-domain experience building data-centric applications for retail, finance, transportation, government, and graph database tooling. He combines a deep academic foundation—a PhD in machine learning from Chennai Mathematical Institute—with practical expertise in scheduling, capacity management, information retrieval, data mining, and discrete optimization. Over the past decade he has focused on helping organizations turn complex business problems into optimized outcomes through applied ML and consulting. Based in Chennai, he brings a rare blend of long-term systems engineering experience and research-led modeling, making him equally at home architecting production pipelines or developing novel algorithms.
11 years of coding experience
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at The University of Texas at ArlingtonMaster of Science, Data Mining, Master of Science, Data Mining at Central Connecticut State UniversityDoctor of Philosophy - PhD, Computer Science (Machine Learning), Doctor of Philosophy - PhD, Computer Science (Machine Learning) at Chennai Mathematical InstituteBachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at PSG College of Technology
Stackoverflow
11reputation
135reached
1answer
0questions
Github Skills (25)
foxx10
statistics10
arangodb10
driver10
data-science9
editor9
electron9
visual-studio-code9
python9
typescript9
machine-learning9
graph9
database9
data-analysis9
jupyter-notebook9
Programming languages (5)
Github contributions (5)
arangoml/arangopipe
Apr 2019 - Mar 2021
ArangoML Pipeline is a common and extensible Metadata Layer for Machine Learning Pipelines based on ArangoDB.
Contributions:1 release, 7 reviews, 114 commits in 1 year 10 months
arangodbmachine-learning
rajivsam/KMDS
Feb 2024 - Jul 2026
Contributions:3 releases, 102 pushes, 4 branches in 2 years 4 months
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