Hemant Kumar

DevOps Engineer

Bengaluru, Karnataka, India9 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

8 years of experience in site reliability engineering.
Expert in multi-cloud infrastructure architecture.
Proven track record in CI/CD and automation.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in scalable systems and CI/CD automation.

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Skills

Core Skills

Microsoft AzureCi/cdKubernetesAwsMachine Learning

Other Skills

AWS - VPCActive DirectoryAgile MethodologiesAlgorithmsAnsibleAutoCADAzureBashCDNDNNDSADatadogDockerEC2Generative AI

About

● 8 years of experience in the field of site reliability engineering ● Experience in large scale enterprise infrastructure architecture on Cloud (AWS/Azure/OCI) Docker and Kubernetes ● Continuous integration/delivery, build, release, and deployments in a multi-cloud environment ● Writing highly scalable, reusable, and reliable software [ Azure, OCI, AWS - VPC, NAT, EC2, S3, CDN, Route 53, UltraDNS, DNS, MySQL, SaltStack, Ansible, Terraform, Helm Charts, Kapitan, Kubernetes, HTTPS, SSL, Velero, Ingress Controllers, Jenkins Pipeline/DSL/Libraries, Groovy, Python, JavaScript, Java, Go, NodeJS, GitLab CI/CD, Datadog, Honeycomb, PLG (Promtail, Loki, Grafana), Prometheus, Alertmanager, Tempo, Vault ]

Experience

Siemens digital industries software

Lead Software Development Engineer

Aug 2019 – Present · 6 yrs 7 mos · Delhi, India · On-site

Team: Production Engineering
Altair One (https://www.altairone.com) offers dynamic and scalable HPC on the public and private cloud
Designed and implemented a secure and scalable infrastructure on Microsoft Azure cloud and on-premise to deliver HPC cluster
Designed and created a fully automated CI/CD build and deployment pipeline with GitLab and Jenkins
Ensure reliability across all components of the platform: monitoring, logging, reporting, testing, high-availability, and scalability
Designed, deployed and implemented Vault with CI/CD, Jenkins and NodeJS service
[ Azure, OCI, UltraDNS, Infrastructure as Code, SaltStack, Release Engineering, Kubernetes, Velero, Let's Encrypt, cert-manager, Kapitan, Terraform, Jenkins Pipeline/DSL/Libraries, Groovy, PowerShell, Active Directory, Samba, GitLab, Datadog ]

AzureOCIUltraDNSInfrastructure as CodeSaltStackRelease Engineering+15

Weyv

Site Reliability Engineer

Jun 2017 – Aug 2019 · 2 yrs 2 mos · Bengaluru Area, India

Team: Production Engineering
WEYV (https://www.weyv.com) is a commercial music streaming service platform that allows users to listen to music and read magazines
Designed and maintained AWS infrastructure creation using Ansible
Architected a highly scalable and reliable infrastructure on AWS
Build helm charts to package and deploy applications on kubernetes
Designed CI/CD Jenkins pipelines to increase deployments and delivery frequency
[ AWS - VPC, NAT, EC2, S3, CDN, Route 53, Ansible, Helm Charts, Kubernetes, Jenkins Pipeline, Groovy, Docker, Prometheus, Grafana, Datadog ]

AWS - VPCNATEC2S3CDNRoute 53+10

Indian institute of technology, guwahati

Artificial Bandwidth Extension (ABE) for Speech using DNN

Aug 2016 – Apr 2017 · 8 mos · Guwahati Area, India

Speech quality communicated over the existing public switched telephone network (300-3400 Hz) does not have sufficient naturalness because of the lost information in the higher frequency region
ABE attempts to improve the quality and intelligibility of narrow-band speech by restoring its high-frequency component
Regenerated the lost high-frequency part using deep neural networks (DNN) and analyzed its performance, word error rate (WER) in the automatic speech recognition (ASR) system
[ Machine Learning, DNN, Python, Jupyter Notebook, MATLAB ]

Machine LearningDNNPythonJupyter NotebookMATLAB

Aalto university school of science and technology

Weak localization effects in disordered graphene

May 2016 – Jul 2016 · 2 mos · Helsinki Area, Finland

Designed micro-meter sized field-effect transistor (FET) on AutoCAD
Fabricated graphene FET on silicon dioxide involving exfoliation of graphene, identification using Raman spectroscopy, e-beam Lithography, metallization, and lift-off
Measured the universal conductance fluctuations in dilution refrigerator in presence of magnetic field up to 20 mT at low temperatures
[ MATLAB, AutoCAD ]

MATLABAutoCAD