Yeshwanth Sai Bollu

• Lead design of enterprise-grade multi-cloud security architecture across AWS, Azure, and GCP, and architect Kubernetes-native platforms (EKS, AKS) with Crossplane-based declarative infrastructure governance
• Built StreamAgent, a data streaming pipeline that ingests and normalizes live security event data, and detection engines across multiple SIEM platforms mapped to the MITRE ATT&CK framework
• Designed real-time telemetry ingestion and anomaly-detection pipelines across distributed cloud workloads, cutting mean time to detection by ~35%
• Led a proof of concept that cut cached-page first-byte latency from 7.4s to ~70ms (100x) and CPU throttling under load by 13x, by redesigning storage into a tiered image/volume/S3 split with per-site object caching
• Led AWS cost optimization cutting monthly cloud spend ~35% (≈$3,950/mo saved) via Savings Plans, decommissioning idle infrastructure, and consolidating five dormant AWS accounts
• Designed a zero-standing-privilege identity and access architecture spanning Azure, AWS, GitHub, and Slack — Conditional Access, enforced MFA, and just-in-time privileged role activation instead of standing admin access
• Own billing systems, infrastructure monitoring, and day-to-day DevOps workflows across the platform; mentor engineers on distributed systems and cloud-native design

• Built and maintained Power Automate workflows and Power Apps applications for multi-department-facing government sites
• Owned the backends and app logic powering content flow and reporting across departments
• Supported executive reporting workflows for state government stakeholders
• Deployed and verified secure file transfer solutions (FTPS/SFTP) bridging legacy mainframe systems to cloud storage

• Designed and developed backend automation modules for Azure-hosted microservices environments
• Engineered modular Terraform libraries to provision AKS clusters, networking, storage, and identity services
• Built CI/CD automation frameworks in Azure DevOps for automated build, test, and deployment workflows
• Integrated Azure Monitor APIs for telemetry collection and application performance tracking

• Architected AWS-based distributed application environments using EC2, RDS, Lambda, and S3
• Designed backend deployment automation integrating Jenkins, Docker, and Kubernetes, with Terraform for consistent environment replication
• Engineered system monitoring frameworks using Prometheus and Grafana
• Led architecture planning for cloud migration and modernization initiatives, and mentored a 12-person engineering team

• Developed automated provisioning systems using Terraform and CloudFormation for AWS-based applications
• Built Python automation scripts for infrastructure validation and scheduled task execution
• Implemented CI/CD workflows integrating Git, Jenkins, and Docker
• Started as an intern supporting AWS provisioning scripts and cloud-migration proofs of concept, and progressed into the full engineering role

Master of Science in Computer Science

GPA 3.51/4.0 — included a year split between coursework and a TA role focused on automation

Bachelor of Technology in Computer Science

GPA 7.13/10