• Designing and developing CICD pipelines using Cloudbees Jenkins and github actions. 10+ CI checks and 15+ periodically running pipelines for releases and integration with other tools like JIRA, Artifactory, etc...

• Reduced infrastructre cost by 57% through strategic resource planning and effecient resource utilization.

• Setup monitoring and alerting tools in k8s infrastructure based on Grafana and logstash. Integration with Azure Data Explorer and Jenkins pipelines.

• Designing and developing tools and services to improve engineering productivity. Example: A tool that reduced release drop time by 90%.

• Mentoring interns

Core Skills & Technologies at Work:

• Cloud Platforms: AWS (EC2, S3, EKS, ECS, Lambda, ECR, CloudWatch, IAM), Azure DevOps

• CI/CD & Automation: Jenkins (incl. Shared Libraries, Multi-Branch Pipelines), GitHub Actions, GitLab CI/CD, CodePipeline, CodeBuild, CodeCommit

• Infrastructure as Code: Terraform (modular design, resource orchestration)

• Containers & Orchestration: Docker, Kubernetes

• Scripting & Programming: Python, Go (Golang), Shell Scripting, Groovy

• Version Control & Collaboration: Git, GitLab, GitHub, Bitbucket

• OS & Build Environments: Linux, Debian, SLES11/SLES15, OBS, build migrations

• ML Tooling & Integrations: AWS SageMaker CI/CD integration

• Tooling & Automation: Custom CLI tools for builds, Jira automation, issue tracking, and release workflows

Contributing to Modernize Intel’s Decade old firmware Build release scripts and CI pipeline

Developing CI flow with implementation of Containers and RESTful Automation

Modernizing Python scripts and Jenkins for improving the CI Build Release workflow

Voluntary strategic and technical advisory support on AI and Learning Systems

R&D to Developing Clean and Concise Code with Improving CI Pipeline

My Contributions :

• Optimizing and refactoring python code, increased script performance by 15% in production

• Debugging and redesigning preprocessor scripts to handle importing unstructured datasets

• Building and testing algorithms to facilitate feature engineering with ML and automating the process

Accomplished and Performed a key role in advancing legacy mainframe non-real-time applications to Advance Java AWS Cloud Applications with Optimization and Efficiency for Cloud Migration and Integration Project for leading US-based bank. Also, responsible for functional designs of the new migrating applications over the cloud, APIs creation, team coordination, DevOps, and training new teammates