Headline

DevOps Engineer at Cognizant | Jenkins | Docker | Kubernetes | AWS | Terraform | React.js | Spring Boot | Open to DevOps & Full Stack Roles

About

DevOps Engineer currently working at Cognizant, placed within the Medtronic client account. I specialise in CI/CD pipeline management, container orchestration, and cloud infrastructure automation using Jenkins, Docker, Kubernetes, Terraform, and AWS. My technical background spans the full stack — React.js and Spring Boot on the application side, MySQL and MongoDB on the data side, and AWS/Azure on the cloud side. I hold 4 professional cloud certifications across Oracle Cloud Infrastructure and Google Cloud. What I've built: → Full-stack Employee Health Insurance Management System (React.js, Spring Boot, JWT, RBAC) → Real-Time Log Monitoring System with AI-based anomaly detection (React, Node.js, MongoDB, WebSockets) → DevSecOps CI/CD Pipeline with integrated Trivy security scanning (Flask, Docker, GitHub Actions) → Blockchain-based Academic Credential Verification System (Python, Flask, Smart Contracts) I'm actively building expertise in MLOps and AI engineering to transition into high-impact product engineering roles. Currently open to DevOps, Full Stack, and MLOps opportunities in Bengaluru. 📧 saiprakash53287@gmail.com 🔗 github.com/sai-prakashh

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

deepseek

gemini

Work experience

Programer analyst trainee at Cognizant, Nov 2025 - Present · 11 mos, Bengaluru, *Placed within the Medtronic client account in the DevOps domain, working with teams responsible for CI/CD pipeline management and cloud infrastructure operations *Applying Jenkins, Docker, and Kubernetes for build automation, containerised deployments, and consistent application delivery across environments *Implementing Terraform scripts for AWS infrastructure provisioning, reducing manual configuration steps and improving environment consistency *Continuously upskilling in enterprise DevOps workflows, cloud-native patterns, and production deployment best practices

Data Analyst Intern at MURTI labs - GITAM, May 2024 - Aug 2024 · 4 mos, Bengaluru, *Reduced data processing time by 30% by redesigning preprocessing workflows using SQL and AWS RDS, integrating groundwater datasets from 5+ geospatial sources *Built Power BI dashboards tracking groundwater distribution trends, directly supporting research decisions for the WERI equipment study team *Ensured data accuracy across large-scale geospatial datasets through systematic cleaning, transformation, and multi-stage validation pipelines

AI Engineer at Outlier, Mar 2024 - Jun 2024 · 4 mos, Remote, *Evaluated and rated AI-generated responses for quality, accuracy, and safety across technical domains including Python, cloud computing, and cybersecurity *Contributed to LLM training datasets by identifying model weaknesses and providing structured human feedback

Education

Bachelor of Technology, Computer Engineering, GITAM Deemed University

narayana junior college