Gunu S.

Gunu S. Email and Phone Number

Natural Language Processing (NLP) with Deep Learning @ Stanford Online
Concord, CA, US
Gunu S.'s Location
San Francisco, California, United States, United States
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.

Gunu S.'s Current Company Details
Stanford Online

Stanford Online

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Natural Language Processing (NLP) with Deep Learning
Concord, CA, US
Gunu S. Work Experience Details
  • Stanford Online
    Natural Language Processing (Nlp) With Deep Learning
    Stanford Online
    Concord, Ca, Us
  • Datagusto
    Advisory Specialist
    Datagusto Nov 2024 - Present
    London, England, Gb
  • Ibm
    Platform Engineer Manager Data, Ai And Governance
    Ibm Jan 2024 - Nov 2024
    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.
  • Ibm
    Devops Engineer Specialist
    Ibm Jan 2023 - Dec 2023
    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.
  • Ibm
    Devops Engineer
    Ibm Jun 2021 - Dec 2022
    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.
  • Gainwell Technologies
    Devops/Configuration/Sre Engineer
    Gainwell Technologies Sep 2020 - May 2021
    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.
  • Dxc Technology
    Devops Engineer/Configuration Management
    Dxc Technology May 2020 - Sep 2020
    Ashburn, Virginia, Us
  • Unitedhealth Group
    Devops Engineer
    Unitedhealth Group Mar 2017 - Mar 2020
    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.

Gunu S. Education Details

  • University Of The People
    University Of The People
    Data Mining And Machine Learning
  • City College Of San Francisco
    City College Of San Francisco
    Computer Science

Frequently Asked Questions about Gunu S.

What company does Gunu S. work for?

Gunu S. works for Stanford Online

What is Gunu S.'s role at the current company?

Gunu S.'s current role is Natural Language Processing (NLP) with Deep Learning.

What schools did Gunu S. attend?

Gunu S. attended University Of The People, City College Of San Francisco.

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