Jaivish Kothari

DevOps Engineer

Bengaluru, Karnataka, India12 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Cloud and Distributed Systems development.
Significant contributor to OpenStack and Kubernetes projects.
Strong background in MLOps and AI infrastructure.

Stackforce AI infers this person is a Cloud and Distributed Systems Engineer with a focus on MLOps and AI technologies.

Contact

Skills

Core Skills

MlopsDistributed SystemsCloud ComputingMicroservices

Other Skills

GolangKubernetespythonSoftware DesignMicrosoft AzureAmazon Web Services (AWS)Amazon CloudWatchLogzArtificial Intelligence (AI)Data ScienceLarge Language Models (LLM)Deep LearningAgile MethodologiesSoftware DevelopmentUnix

About

IRC: janonymous Github: https://github.com/codevulture Contribution Link: http://stackalytics.com/?release=all&metric=commits&user_id=janonymous Email: janonymous.codevulture@gmail.com Scalable Distributed systems Developer. Experienced with python programming concepts, building parallel processing systems. Major contributor in Openstack project and contributor in Python. Opensource Developer in one word. I’m a software engineer passionate about working on Distributed systems. Being interested in various technologies, I have worked on different aspects of Cloud based technologies and Containers. As part of my job, I work on Cloud Storage System using python, Linux and couple of other things falling in between. Currently spending my free time in exploring Openstack, Container Technologies like Kubernetes and Docker.

Experience

12 yrs 4 mos

Total Experience

6 yrs 2 mos

Average Tenure

8 yrs 7 mos

Current Experience

Hewlett packard enterprise

4 roles

Senior Cloud Developer ( Architect )

Promoted

Jan 2025 – Present · 1 yr 4 mos

Working on Disconnected Private Cloud On-Premise

Cloud Developer III

Jan 2022 – Jan 2025 · 3 yrs

HPE Private Cloud AI - In Collaboration with Nvidia
Simplification of accelerated infrastructure configuration and provide the speed and scale of public cloud—while keeping your data private and more secure—with an end-to-end lifecycle software platform. Build and scale AI projects with a rich ecosystem of AI models and development tools, while maintaining control over costs and financial risks.
Worked on Services to configure End to End AI Stack including Infrastructure, Platform and Software.

Senior Software Engineer ( Specialist )

Promoted

Jan 2020 – Jan 2022 · 2 yrs

Disconnected Private Cloud
MLOps - Machine Learning Operations Software Stack
HPE Greenlake Service Developer for Machine Learning operations (MLOps) as a service.
HPE GreenLake for ML Ops makes it easier and faster to get started with ML/AI projects and seamlessly scale them to production deployments. Within your datacenter or colocation facility, deploy AL/ML workloads on HPE's ML-optimized cloud service infrastructure featuring HPE Apollo hardware powered by HPE Ezmeral ML Ops – a solution that is designed to address all aspects of ML lifecycle, from data preparation to model building, training, deployment, monitoring, and collaboration. The HPE GreenLake edge-to-cloud platform offers consumption-based pricing, allowing you to consume these resources on premises with a cloud experience.
Investigations on various critical components for Disconnected Private Cloud.
Worked on Software components alternatives to AWS Service for Dynamo DB,
Amazon SES, Amazon SQS, ELK experimentation etc.
Designing, Investigation and Delivery of Service Delivery framework for customizing the Customer inputs and integrating it with Software Delivery Framework for Onprem Deployments

GolangKubernetespythonMicroservicesSoftware DesignMLOps+1

Software Engineer

Oct 2017 – Jan 2020 · 2 yrs 3 mos

HPE Hybrid Cloud
Cloud Discovery Service Integration with Cloud Providers ( AWS, Azure ) for Monitoring, Logging
Azure API investigations
Transforming multiple Azure calls with single call to improve scale and performance
Integration of Microservice with:
Monitoring Module Integration - Opsramp Integration.
Logging Module Integration - Logzio Integration

Microsoft AzureAmazon Web Services (AWS)Amazon CloudWatchLogzCloud ComputingMicroservices

Nec technologies india ltd.

3 roles

Senior Member Of Technical Staff ( Senior Developer)

Promoted

Apr 2016 – Oct 2017 · 1 yr 6 mos

Currently working on Device level Object Storage Solution (OSD), i.e. a storage architecture that manages data as objects through REST I/F.
Base: OpenStack Object Storage (Swift)
Key Responsibility Areas:
◘ Integration of NEC's Object Storage with OpenStack components (Python)
Openstack Identity Service - Keystone, a common authentication system across the cloud operating system
◘ Part Development of OSD Service Module (Python)
Container Updater Services , Object Updater Services for Monitoring Storage Cluster's Container and Objects.
Container Recovery Process : Includes the migration of Data on Multi Node Cluster using combination of Eventlet Green Threads and Data Structure Design.
Unit Testing and Stabilization of Complete OSD Services through Python Unit Test Framework using Mocks with coverage calculated through Pycov.
◘ Building and packaging of RHEL Packages including all the dependency and Project Packages RPM in binary format by making it .spec files.
◘ Integration of Amazon S3 Tools like Cloudberry, s3cmd and S3Browser with the Source Code to send Requests on Multinode Cluster.

Member of Technical Staff ( Developer )

Jul 2014 – Mar 2016 · 1 yr 8 mos

OpenSource Contributions - Openstack, Kubernetes Communities

Jan 2014 – Oct 2017 · 3 yrs 9 mos

◘ OpenSource Developer
Github : https://github.com/codevulture
https://github.com/codevulture?tab=overview&from=2017-12-01&to=2017-12-31
◘ Involved with Reviewing Code, Blueprint/Feature Level Contributions, Designing, Bug Resolution in OpenSource Community
◘ Involved with Openstack integration with Kubernetes and Container Technologies
◘Worked in projects like Kubernetes, Kubernetes Client, Swift, Kuryr and others