ATUL.RAJPUT
CONTACT
SYSTEM STATUS: OPTIMAL
Atul Rajput
// AI-Driven Infrastructure Architect
DevOps engineer building and scaling production systems with Kubernetes and AWS. I focus on automation, reliability, and cost-efficient infrastructure, while exploring AI/ML integration to enhance system intelligence and workflows.
FACIAL_RECOGNITION
CLASS: ML_ENGINEER
CONF: 99.8% MATCH
SECURE & SCALABLE INFRASTRUCTURE
Production_Load_Topology
Web Client
WAF / API Gateway
Kubernetes / EKS Cluster
Auth Service
LLM Model / AI
Event Workers
PostgreSQL DB
Redis Cache
Observability
Hover to inspect node
/ROOT/CAREER_HISTORY _
Experience.log
DevOps Engineer
SparxIT June 2025 - Present- Led production-grade Kubernetes deployments across multi-cloud platforms like EKS, Linode, and GKE.
- Integrated DevSecOps practices using OWASP ZAP and Trivy into Jenkins pipelines.
- Prototyped cloud-native solutions using AWS Bedrock and AI-powered services.
DevOps Engineer
Aayan Infotech June 2024 - June 2025- Architected CI/CD pipelines, reducing Docker image size by 30% and streamlining deployments.
- Achieved 40% FASTER BUILD TIMES via Jenkins pipelines and auto-scaling of Docker apps.
- Optimized AWS infrastructure to achieve a 62.5% reduction in cloud costs through spot/reserved instances.
DevOps Engineer
Razespace Aug 2023 - May 2024- Architected and managed CI/CD pipelines with Jenkins, reducing deployment time by 30%.
- Pioneered the use of Terraform (IaC), reducing infra setup time by 20%.
- Optimized workflows using AWS Lambda and the Serverless Architecture Model.
~/workspace/projects $ ls -la
Deployed_Systems
Job Hunt Portal (GitOps)
Automated deployment pipeline utilizing GitOps methodology with ArgoCD, running on Amazon EKS. Ensures zero downtime updates.
Autonomous Inference Scaler
An event-driven autoscaler for LLM inference APIs that detects latency spikes and provisions GPU nodes proactively.
systemctl status tech-stack