Tamil Selvan K

DevOps Engineer

Bengaluru, Karnataka, India10 yrs 3 mos experience

Highly StableAI ML Practitioner

Key Highlights

Expert in deploying AI and ML solutions
Strong leadership in enterprise deployment teams
Extensive experience with cloud and hybrid environments

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in AI and ML deployment.

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Skills

Core Skills

KubernetesDockerAws CloudDatarobot PlatformHadoopApache Hive

Other Skills

AKS/EKSAPI callsAWSAWS SecurityAmazon EKSAmazon Web Services (AWS)Apache OozieAzureBashBig DataBig Data AnalyticsCI/CDCloud/Hybrid NetworkingDataRobot AI PlatformHDFS

About

Working in DataRobot Support as Lead AI Support Engineer. Enabling customers realise the true potential of AI and ML

Experience

Neural concept

Deployment Engineer II

Jul 2025 – Present · 8 mos · Bengaluru · Remote

End-to-end deployment and infrastructure operations for Neural Concept’s GPU/HPC platform across cloud, hybrid and on-prem environments.
Design scalable deployment architectures and integrate the platform into complex enterprise IT environments.
Manage Kubernetes, Docker, Singularity, GPU nodes and HPC resources for model training and inference.
Lead customer onboarding, deployment, troubleshooting and coordination with IT/security teams.
Handle infrastructure, networking, compliance and data-privacy requirements during customer assessments.
Collaborate with Product, R&D and Platform teams to improve deployment workflows and operational reliability.
Maintain deployment documentation, playbooks and runbooks for internal teams and customer use.
Tech: Kubernetes • Docker • Singularity • HPC • NVIDIA GPUs • AKS/EKS • Linux • Cloud/Hybrid Networking • CI/CD • Security & Compliance

KubernetesDockerSingularityHPCNVIDIA GPUsAKS/EKS+4

Datarobot

3 roles

Senior Lead DevOps Engineer

Apr 2024 – Jul 2025 · 1 yr 3 mos

Lead AI Support Engineer

Sep 2023 – Apr 2024 · 7 mos

Lead - Enterprise Deployment Team APAC

Senior AI Support Engineer

Jan 2021 – Sep 2023 · 2 yrs 8 mos

Currently in DataRobot we manage On prem DataRobot product and help our customers realise true potential of Machine Learning. Currently I am working extensively on AWS Cloud, Docker, Linux, K8s, DataRobot platform, python and API calls.

AWS CloudDockerLinuxKubernetesDataRobot platformPython+1

Cloudera

2 roles

Staff Customer Operations Engineer

Promoted

Apr 2020 – Jan 2021 · 9 mos

Work on multiple Hadoop components like Apache Hive, Yarn, Tez, Spark, HDFS.
Help customers Scale their clusters and working on accelerating customer’s use cases using sub-second processing Engine (Hive LLAP)
Assist customers with critical upgrades, Patching, and providing workarounds in Enterprise Clusters with minimum Downtime
Backport patches, validate the fix and Build Dev Jars for issue validations and work with Product Team for delivering the Hotfix
Review Jstacks, jmap dump and isolate memory leak issues and report to product Team
Working with CDP Private Cloud and helping customers migrate and realize the true potential of On-Premise and Cloud Environments
Installing and troubleshooting Cloudera Data Warehouse (CDW) on AWS and Azure Instances
Training and Mentoring the Team and help in Cross product learnings for both CDH and HDP for components like Hive LLAP, CM, Ambari
Part of Technical Interview Panel, conduct Bootcamp sessions, Component Specific Deep Dive Trainings and enhancing Internal product documentations

Apache HiveYarnTezSparkHDFSAWS+2

Senior Customer Operation Engineer

Jan 2019 – Apr 2020 · 1 yr 3 mos

Hortonworks

Technical Support Engineer

Apr 2017 – Jan 2019 · 1 yr 9 mos · bangalore

Working with Industry leaders of Hadoop and being a part of HDP is in itself a great experience. My work here is to focus on Core Hadoop components and support customer's cluster and help them in making best out of Hadoop.

Informatica business solutions

2 roles

Associate Software Engineer

May 2016 – Apr 2017 · 11 mos

As a part of my job, we work along with our client in addressing their real Time Data Management solutions. We provide them solutions in Data Transformation and Archiving them .
We also work on improving the performance of their Production Database. Also with this, we work on Internal Product Enhancement and Bug fixing by analyzing the product use-case and behavior in real-time environments.