AI products · Platform · DevOps

Yadlapalli Sankar Sai Narayana

Building intelligent systems
that ship reliably.

AI and cloud software engineer with 1+ year shipping production LLM applications, agentic systems, and RAG pipelines. CKA-certified on AWS EKS — bridging AI engineering with DevOps to deliver reliable, scalable, cost-efficient platforms.

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Yadlapalli Sankar Sai Narayana
Focus LLM apps & APIs

Agents, RAG, evals, and product UX around models.

Stack Cloud & delivery

Kubernetes, CI/CD, IaC, and SRE-minded operations.

Principle Ship with confidence

Monitoring, testing, and guardrails from day one.

About

AI and cloud engineering with production ownership — from LLM orchestration to the platforms that keep it reliable.

I am Yadlapalli Sankar Sai Narayana, an AI and Cloud Software Engineer focused on building reliable, production-ready AI systems. My work spans LLM applications, RAG architectures, Kubernetes platforms, observability, and cloud-native infrastructure.

At Yellow.ai, I work on AWS EKS production systems, lead incident response, and develop AI-powered observability tools that help engineers diagnose and resolve issues faster. As a Certified Kubernetes Administrator (CKA) with a B.Tech (Honors) in Information Technology, I am passionate about building scalable, resilient systems that deliver measurable impact.

  • 1+ yr Production AI & platform
  • CKA Kubernetes certified
  • ~40% MTTR improvement (on-call)
  • 11 MCP tools · unified diagnostics

AI & LLM systems

  • LangChain and LangGraph orchestration for agents and tool use
  • RAG pipelines, vector search, and Hugging Face embeddings
  • MCP integrations and autonomous RCA for distributed traces

Software & APIs

  • FastAPI, Flask, and REST APIs for model-backed services
  • FastMCP and Python/TypeScript for integration layers
  • PostgreSQL and MySQL for application and analytics data

Cloud & DevOps

  • AWS EKS, Docker, Helm, and GitHub Actions CI/CD
  • On-call SRE, IAM/RBAC, and multi-environment cluster operations
  • Distributed tracing, log analysis, and incident management

Education & Work Experience

From degree and CKA certification to production work at Yellow.ai — one path through cloud, AI, and observability engineering.

  1. Experience

    Mar 2025 — Present

    DevOps Engineer Intern — Yellow.ai

    Yellow AI (Yellow Messenger), Bangalore — CKA-certified intern owning AWS EKS operations and an MCP-powered observability platform used daily by engineering.

    Cloud infrastructure & SRE

    • Managed EKS across 3+ environments; upgrades and patching cut deployment failures by ~30%.
    • On-call for 15+ critical incidents; MTTR down ~40% via structured log analysis and remediation.
    • Right-sized workloads for ~25% lower infra overhead; CI/CD on GitHub Actions + Docker accelerated releases ~35%.
    • IAM, cluster RBAC, and routine patching across AWS components.

    AI platform & observability

    • Unified 11 MCP tools into one on-demand diagnostic platform; incident investigation from ~60 min to under 5.
    • LLM layer routes natural-language queries (trace ID, region) to the right tool — ~3 hours/day saved on manual debugging.
    • LangChain orchestration for autonomous RCA on distributed traces; MTTD down ~45%, developer productivity up ~50%.
  2. Education

    2025

    Certified Kubernetes Administrator (CKA)

    Linux Foundation, USA — production cluster admin, troubleshooting, networking, storage, and security for cloud-native workloads.

    • Directly supports EKS ownership at Yellow.ai: upgrades, RBAC, and multi-environment reliability.
  3. Education

    Nov 2021 — May 2025

    B.Tech Information Technology (Honors)

    JNTU-GV College of Engineering, Vizianagaram — GPA 8.0+ / 10. Honors graduate with focus on software engineering, AI/ML, and systems.

    • Coursework: algorithms, databases, networks, OS, and cloud-oriented subjects.
    • Labs & projects: TensorFlow, PyTorch, Hugging Face, Jupyter, Power BI, and ETL-style analytics pipelines.

Expertise

Core areas across product engineering, cloud-native systems, and AI platform delivery.

AI, LLM & Agents

Orchestration, RAG, and tool-use systems in production.

LangChain LangGraph MCP / FastMCP RAG pipelines Hugging Face Agentic workflows

Cloud & Kubernetes

EKS operations, cluster lifecycle, and AWS foundations.

AWS EKS EC2 / ECR IAM & RBAC Helm CKA Multi-env clusters

DevOps & CI/CD

Repeatable delivery, containerization, and Linux ops.

Docker GitHub Actions CI/CD pipelines Linux Git Release automation

Backend & APIs

Services that expose models, data, and integrations.

Python FastAPI Flask REST APIs PostgreSQL MySQL

Observability & SRE

On-call, tracing, and incident response at scale.

Distributed tracing Incident management On-call SRE Log analysis Cluster monitoring Autonomous RCA

Platform & Architecture

Cloud-native design for reliable, scalable systems.

Microservices Cloud-native System design Self-healing systems Infrastructure planning

Work

Selected builds from Yellow.ai and personal repos — production MCP observability, RAG assistants, and data/ML experiments.

MCP + Platform+ LLM 2026

TicketOps

Production agentic system at Yellow.ai: FastMCP + LangChain routes queries to 11 observability tools — cutting incident investigation from ~60 minutes to under 5.

Internal production tool GitHub profile
RAG 2026

SE-HE-RAG

Developed a self-healing RAG pipeline with adaptive retrieval and claim verification. The system automatically retries searches and regenerates responses when evidence is insufficient, ensuring reliable and grounded answers.

Live Demo Repository
Go +Python(AI)+k8s 2026

KubeAtlas(On-going)

Building KubeAtlas, an AI-powered Kubernetes operations platform that monitors cluster health, analyzes incidents, and identifies root causes in real time. The system combines observability, LLM-driven investigation, and automated remediation workflows to reduce troubleshooting time and improve cluster reliability.

Internal production tool GitHub profile

Let’s connect

Open to AI engineering, platform, and DevOps roles. Based in Bangalore — reach me by email.

Email me LinkedIn GitHub