AI Engineer with nearly three years of DevOps experience — built and deployed LLM agents, RAG pipelines, and AIOps tooling on AWS EKS end-to-end. Currently finishing an MS at USF and certified across AWS, GCP, Azure, OCI, Anthropic, and Redis.
Who I Am
I'm an AI Engineer and Forward Deployed Engineer who builds production-grade AI systems — LLM agents, RAG pipelines, and AIOps tooling that run reliably on AWS EKS. My background spans nearly three years of DevOps engineering in India and the United States, where I've shipped infrastructure for teams of 10,000+ users.
I specialize in closing the gap between ML research and production reality — writing the Terraform, Helm charts, GitHub Actions pipelines, and observability stacks that keep AI systems running at scale. Currently finishing my MS in Computer Engineering at the University of South Florida.
The Journey
- ›Architecting AI-powered fundraising workflows across Symphony, Bitrix24, and Wix platforms
- ›Publishing weekly intelligence briefs synthesizing AI and nonprofit sector developments
- ›Producing volunteer training documentation to accelerate team onboarding
- ›Maintained 99.9% POS system uptime across 10,000+ user environments
- ›Reduced incident frequency by 25% through proactive monitoring and runbook automation
- ›Authored operational runbooks that standardized incident response procedures
- ›Reduced manual infrastructure operations ~70% using Terraform and Ansible across 4 environments
- ›Cut deployment time 40% via GitHub Actions and GitLab CI pipelines with ArgoCD GitOps
- ›Secured the pipeline end-to-end: HashiCorp Vault secrets injection, Trivy image scanning, OPA policy gates
- ›Implemented Prometheus + Grafana + ELK observability stack for production workloads on EKS
- ›Built a Python-based IoT healthcare monitoring platform delivering patient alerts under 30 seconds
- ›Integrated sensor data pipelines with real-time alerting for critical patient vitals
- ›Graduate coursework in Machine Learning, Distributed Systems, and Cloud Computing
- ›Bachelor of Engineering with focus on embedded systems and signal processing
Skills
Credentials
10 active certifications across Anthropic, AWS, GCP, Azure, OCI & Redis
Projects
Production systems — not demos. Real problems, real stacks, measured outcomes.
Enterprise CloudOps AI Platform
Deployed 8 microservices (React, Node.js/TypeScript gateway, 5 Python backends, PostgreSQL) to live EKS 1.34 via modular Terraform. GitHub Actions builds all 8 images in parallel with matrix builds, rewrites Kustomize tags, and ArgoCD self-heals on drift.
Get In Touch
Whether it's a role, a project, or just a question about the stack — I read every message and I'm quick to respond.
Actively looking for AI Engineer, MLOps, or FDE roles starting 2026.