Naresh Ganesan
Applied AI Architect at DevRev
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolNaresh Ganesan is an Applied AI Architect with 13 years of experience designing and delivering cloud-native, scalable AI systems across telecom, retail, privacy, and video intelligence domains. He has led teams to productionize generative AI assistants, document-understanding platforms, knowledge graphs, rule/reasoning engines, and DAG-based workflow orchestration at scale, with strong expertise in Kubernetes, service mesh, and GPU/CPU model deployment. His background spans startups and large enterprises where he built privacy-first PII tagging, automated data extraction, and near-real-time event processing pipelines. Known for turning complex business workflows into composable distributed functions, he combines deep learning model know-how with pragmatic platform engineering. Based in Bengaluru, he pairs an MS in Information Systems with hands-on architecture experience that bridges research models and production-grade systems.
12 years of coding experience
10 years of employment as a software developer
The University of ArizonaBachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Anna University Chennai
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (92)
notebook10
python10
image-processing10
kubeflow10
security10
kedro10
microservices10
proxies10
computer-vision10
kubeflow-pipelines10
kubernetes10
jupyter10
tensorflow10
google-kubernetes-engine10
machine-learning10
Programming languages (7)
Github contributions (5)
nareshganesan/kubernetes-practice
Nov 2017 - Apr 2019
Contributions:2 PRs, 29 pushes, 4 branches in 1 year 5 months
installationcustom-resourcekubernetesdefinitionskubernetes-installation
nareshganesan/blog.insightstream
Mar 2021 - Mar 2024
Contributions:8 pushes in 3 years
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