Shrikar Kaduluri
// DevOps & Platform Engineer
Production Impact
Bridging the gap between Dev and Ops with measurable results
// My Approach
> My background sits at the intersection of Software Engineering (C#/.NET) and Cloud Infrastructure.
I treat it like code
Terraform, Docker, Kubernetes to ensure environments are reproducible and secure.
I treat it as a pipeline feature
C#/Selenium frameworks that act as guardrails for release cycles.
I focus on the "Ops" side
Orchestrating RAG layers on GCP to turn experimental AI into production-ready tools.
The Short List
// Projects
Internal Compliance Dashboard
An internal operations dashboard used to visualize compliance data. The focus of this project was not just the UI, but the Software Supply Chain: I containerized the application using Docker (multi-stage builds) and implemented a GitHub Actions pipeline to automate the build and test process.
Azure Infrastructure Monitor
A cloud infrastructure lab designed to practice Infrastructure as Code (IaC). I used Terraform to provision Azure VMs and Networking resources to avoid manual configuration drift. Integrated Python scripts to simulate server health checks and automate basic incident alerting.
// Career Path
> Started in QA at Infosys, where I learned that high-quality code isn't just about passing tests—it's about building resilient deployment pipelines.
Current Role
Information Technologist 1
Ohio DRC
Aug 2024 - Present
AI & MLOps
AI Operations and QA Intern
WelSpot
Mar 2024 - Aug 2024
Quality Engineering
System Engineer
Infosys
Nov 2020 - Apr 2022
Professional Start
System Engineer Intern
Infosys
Jan 2020 - Mar 2020
Information Technologist 1
Ohio DRC
Aug 2024 - Present
- Currently teaching myself Azure DevOps CI/CD pipelines to move team away from manual deployments
- Keeping enterprise fiber networks and Polycom video hardware running at 99.8% uptime
- Built custom C# and .NET tools to automate repetitive admin tasks, cutting manual workload by 20%
AI Operations and QA Intern
WelSpot
Mar 2024 - Aug 2024
- Set up RAG layer on GCP using BigQuery and vector databases for production AI models
- Optimized prompt engineering and database indexing, making AI data retrieval 30% faster
- Created Python-based prompt validation tool, catching 40% more bugs before production
System Engineer
Infosys
Nov 2020 - Apr 2022
- Wrote and managed over 200 Selenium scripts for a 10,000-user platform
- Moved team to Page Object Model (POM) framework, slashing manual testing time by 40%
- Final checkpoint for enterprise releases, ensuring zero critical bugs in production
System Engineer Intern
Infosys
Jan 2020 - Mar 2020
- Learned C# and .NET basics by shadow-coding with senior engineers
- Assisted QA team with manual regression tests and first automated Selenium scripts
- Supported deployment of feature updates for enterprise-scale software
// Education
University of Dayton
Master's degree, Computer Science
Aug 2022 - Dec 2023
GPA: 3.8
Jawaharlal Nehru Technological University
Bachelor of Technology, Computer Science
May 2016 - Sep 2020
// Certifications
> Professional certifications validating expertise in cloud computing and software development.
Microsoft Certified: Azure Fundamentals
Cloud Computing and Microsoft Azure
Issued Oct 2025
Azure Administrator Associate (AZ-104)
Managing Azure identities, governance, storage, compute, and virtual networks.
Azure DevOps Engineer Expert (AZ-400)
Advanced DevOps practices, CI/CD, and SRE principles on Azure.
// Let's Connect
> I'm looking to join a team that values clean code as much as stable infrastructure. If you're looking for someone to bridge the gap between "Dev" and "Ops," let's talk.
🎯 Professional Opportunities
Direct contact for partnerships & career discussions