AI Systems • Kubernetes • Cloud Infrastructure • RAG • DevOps
I build production-grade AI and cloud-native systems focused on scalability, automation, and reliability.
My work combines:
- 🤖 LLM Engineering
- ☁️ Cloud Infrastructure
- ⚙️ Kubernetes & DevOps
- 🔍 Retrieval-Augmented Generation (RAG)
- 🚀 AI-powered automation systems
I enjoy designing systems that are not only intelligent, but also deployable, observable, scalable, and production ready.
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AI-powered observability system that analyzes logs, detects anomalies, and generates actionable insights using LLMs.
- Intelligent root-cause analysis
- Structured incident summaries
- Context-aware log understanding
- Real-time AI-assisted troubleshooting
FastAPI • LangChain • LLMs • Prompt Engineering
Advanced Retrieval-Augmented Generation system capable of improving retrieval quality dynamically.
- Semantic document search
- Adaptive retrieval pipelines
- AI-powered contextual responses
- Knowledge-aware conversational workflows
LangGraph • Vector DBs • RAG • LLMs
Production-style deployments on AWS using EKS with security, scalability, and automation best practices.
- EKS cluster deployments
- Persistent storage with EBS
- Ingress + TLS configuration
- IAM-based security architecture
AWS • Kubernetes • Docker • CI/CD
- 🥇 Certified Kubernetes Administrator (CKA)
- 🚀 Built scalable AI + Cloud systems
- ⚡ Hands-on expertise in Kubernetes & AWS
- 🤖 Developing advanced LLM and RAG architectures
- ☁️ Strong understanding of production infrastructure
“Building reliable AI infrastructure that bridges intelligent systems with scalable cloud-native engineering.”
