Gunu S.
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Gunu S. Email & Phone Number

Natural Language Processing (NLP) with Deep Learning at Stanford Online
Location: San Francisco, California, United States 8 work roles 2 schools
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Role
Natural Language Processing (NLP) with Deep Learning
Location
San Francisco, California, United States

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Gunu S. is listed as Natural Language Processing (NLP) with Deep Learning at Stanford Online, based in San Francisco, California, United States. AeroLeads shows a matched LinkedIn profile for Gunu S..

Gunu S. previously worked as Advisory Specialist at Datagusto and Platform Engineer Manager Data, AI and Governance at Ibm. Gunu S. holds Bachelor'S Degree-Bs, Data Mining And Machine Learning from University Of The People.

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Stanford Online

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About Gunu S.

Develop, build and operate automated infrastructures utilizing Docker, VMware, AWS, EC2, S3, DynamoDB, Cloudformation, VPC, Route53, Beanstalk, Cloudwatch, IAM, Docker Container, Azure and Linux. Develop with continuous integration (CI/CD) using automation tools such as GIT/SVN, Jenkins, and Ansible. Build and develop Microservices and IaaS infrastructure with experience in AWS CodeDeploy and Kuberentes.

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Stanford Online
Stanford Online
Natural Language Processing (NLP) with Deep Learning
Concord, CA, US
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8 roles

Gunu S. work experience

A career timeline built from the work history available for this profile.

Natural Language Processing (Nlp) With Deep Learning

Concord, Ca, Us

Advisory Specialist

Current

London, England, Gb

Nov 2024 - Present

Platform Engineer Manager Data, Ai And Governance

Ibm

Armonk, New York, Ny, Us

Led cross-functional client engineering teams in designing and deploying hybrid cloud and AI solutions, leveraging technologies like Watsonx.ai, Watsonx.governance and Watsonx.data, IBM Cloud Paks, Red Hat OpenShift, and Kubernetes to accelerate client digital transformation. Virtual/in-person client co-creation sessions, aligning solution architecture with client business goals, integrated external chat model such as ChatGPT and hybrid cloud strategies, ensuring seamless integration and deployment in AWS. Managed end-to-end platform engineering processes, from requirement identification to hands-on solution building, ensuring operational efficiency and client satisfaction.Drove automation, DevOps using various tools such as ArgoCD, Tekton, and security best practices using IBM verify, setting IAM policy, enabling scalable, secure, and highly available platforms across cloud and on-premise environments, contributing to business value realization for clients.Drive innovation by leveraging AI and machine learning insights to gain observability across client’s applications, processes, data, and platform ecosystem, transforming siloed and inefficient/bottlenecks workflows to enhance throughput and optimize business performance against metrics and KPIs.

Jan 2024 - Nov 2024

Devops Engineer Specialist

Ibm

Armonk, New York, Ny, Us

Technical Discovery and System Analysis: Prepare and lead technical discovery sessions, understanding customer business requirements, current ("as is") and future ("to be") scenarios, and entire system architecture.POC/POV/POT/POX Creation: Develop Proof of Concepts (POC), Proof of Value (POV), Proof of Technology (POT), and Proof of Execution (POX) using various DevOps tools including Tekton, ArgoCD, Jenkins, Docker, Red Hat Ansible, Kubernetes, and Red Hat OpenShift.CI/CD Pipeline Development: Design and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline and automate software delivery processes, enhancing efficiency and reliability.Watsonx Expertise: Currently working on Watsonx.data and Watsonx.governance, creating POCs for clients to demonstrate value and capabilities of these technologies.Customer Engagement and Solution Delivery: Engage with business partners to understand their needs, provide technical solutions, and enable sellers, leveraging deep technical expertise and business acumen.

Jan 2023 - Dec 2023

Devops Engineer

Ibm

Armonk, New York, Ny, Us

Designed and implemented scalable CI/CD pipelines using the GitOps approach, leveraging Tekton and ArgoCD to automate application deployment and infrastructure provisioning.Deployed containerized applications to on-premises and cloud environments (IBM Cloud, AWS, Azure) using Kubernetes, Red Hat OpenShift, and Docker, ensuring high availability and reliability.Collaborated in the management of cloud infrastructure and automated workflows for continuous integration, driving efficiencies across development cycles through advanced DevOps practices.

Jun 2021 - Dec 2022

Devops/Configuration/Sre Engineer

United States, Us

Daily interaction and communication with the development team to coordinate software configuration management (SCM) activities; merging, labeling, and building development source code; creating and enhancing tools and scripts; reviewing existing SCM processes to identify areas for improvement.Resolved build and functional breakages (based on the build logs and smoke test results), working knowledge of software development tools (debuggers, compilers, etc).Involved in application and server migration as well as dual maintenance project.In-charge of daily deployments, responsible for maintaining the packages integrity, and improving CI/CD workflows.Actively participated with the technical changes and Release Management to ensure the quality delivery.Engages & ensures all necessary information is provided by the developer for a specific version release.Monitors and deploys in all environments (DEV/SIT/TRNG/UAT/PROD) and makes sure that the packages are prep with all necessary artifacts.Worked to automate the CI/CD Pipeline to improve productivity, reduce human errors and scale the opportunity.Wrote a playbook to set up YAMAL build and release pipeline in Azure.

Sep 2020 - May 2021

Devops Engineer/Configuration Management

Ashburn, Virginia, Us

May 2020 - Sep 2020

Devops Engineer

Us

• Involved in troubleshooting and debugging of failovers across multiple environments.Provisioned AWS lambda based serverless Infrastructure using Terraform, Jenkins. Set up API gateways. • Worked on disaster recovery for a Serverless Infrastructure. Managed the infrastructure using Terraform, AWS, Ansible, Bitbucket, Jenkins. Set up log rotation to handle downtime due to server side space issues.Worked on setting up AWS Cross Account access. Wrote python / shell automation scripts and reduced manual efforts. Involved in could watch metrics analytics and working towards improvements. Set up AWS cloud watch alerts and complete monitoring of all the servers.Integrated AWS Elastic Search, Kibana with cloud watch logs and streamed cloud watch logs to Kibana.• Working with task assigning and bug tracking tools Jira. Experience in user level and administration level in using GIT/Bitbucket Managed Linux servers.Administered version control system that includes branching and merging, responsible for creating and developing the build process environment.Migrated all the nodes from SSH login into secure Active Directory login.

Mar 2017 - Mar 2020
2 education records

Gunu S. education

Bachelor'S Degree-Bs, Data Mining And Machine Learning

University Of The People

Associate Of Science - As, Computer Science

City College Of San Francisco
FAQ

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Quick answers generated from the profile data available on this page.

What company does Gunu S. work for?

Gunu S. works for Stanford Online.

What is Gunu S.'s role at Stanford Online?

Gunu S. is listed as Natural Language Processing (NLP) with Deep Learning at Stanford Online.

Where is Gunu S. based?

Gunu S. is based in San Francisco, California, United States while working with Stanford Online.

What companies has Gunu S. worked for?

Gunu S. has worked for Stanford Online, Datagusto, Ibm, Gainwell Technologies, and Dxc Technology.

How can I contact Gunu S.?

You can use AeroLeads to view verified contact signals for Gunu S. at Stanford Online, including work email, phone, and LinkedIn data when available.

What schools did Gunu S. attend?

Gunu S. holds Bachelor'S Degree-Bs, Data Mining And Machine Learning from University Of The People.

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