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:
- 🤖 AI Engineering
- ☁️ Cloud Infrastructure(AWS)
- ⚙️ 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.
Designed and supported AI-powered customer engagement platforms serving enterprise-scale conversational workloads.
- Investigated production incidents using logs, metrics, and observability tools
- Performed root-cause analysis for customer-facing AI platform issues
- Worked on oncalls as SRE Shadow
- Worked with Kubernetes workloads and cloud infrastructure
- Supported deployment pipelines and operational automation
- Collaborated with engineering teams to improve platform reliability
- Contributed to issue remediation and operational excellence initiatives
Kubernetes
AWS
OpenSearch
Microservices
AI Systems
Observability (Grafana,Prometheus)
Incident Response
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Built an intelligent Kubernetes troubleshooting platform that collects real-time cluster context, analyzes workloads, events, and resource states, then uses LLMs to investigate failures and recommend remediation steps. Designed to reduce manual debugging effort by transforming complex Kubernetes diagnostics into actionable insights through natural language interactions and automated root-cause analysis.
- Intelligent root-cause analysis
- Structured incident summaries
- Context-aware log understanding
- Real-time AI-assisted troubleshooting
Kubernetes • Docker • Go • 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.”
