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About

The path and the craft

Nine years of Python systems — identity security, KYC, MLOps, and enterprise Agentic RAG at Space.

Portrait of Narendrababu S

Narendrababu S

Hyderabad, India

AI Architect @ Space · Enterprise AI at Scale

AI Architect at Space, designing enterprise AI platforms that turn messy organisational knowledge into reliable agentic systems. I focus on highly scalable Agentic RAG, multi-agent orchestration, and TB-scale extraction and refresh pipelines — the machinery that keeps answers fresh when the corpus never stops moving.

Before Space I built identity-security and AI backends across CyberArk / Palo Alto Networks, LTIMindtree, GlobalLogic, and Accenture — 9+ years of Python systems work in media, banking, and security. The through-line is the same: clear architecture, async I/O that stays honest under load, and AI that is evaluable, guardrailed, and operable at 3 a.m.

This notebook covers AI engineering, concurrency, and the details that decide whether a design survives production.

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Career

Path

Work on the left, education on the right — two trunks, one journey.

Experience

Work

  1. Jul 2026 — Current

    Current

    AI Architect

    Space

    Owning the architecture of enterprise AI at Space: Agentic RAG platforms that ground multi-step agents in private knowledge, and the data planes that keep those systems current at terabyte scale. I design for retrieval quality, agent reliability, and operational cost — so AI features ship as products, not demos.

    • Architect enterprise Agentic RAG for multi-tenant knowledge bases
    • Design agent graphs that plan, tool-call, and verify before answering
    • Build TB-scale document extraction, chunking, and embedding pipelines

  2. Oct 2023 — Jun 2026

    Senior Software Engineer

    CyberArk | Palo Alto Networks

    Built identity-security and AI platforms for multi-cloud environments in Hyderabad. Designed Agentic RAG, autonomous agents, and production guardrails alongside high-throughput Python backends on AWS serverless and Kubernetes (EKS).

    • Built identity security for AWS, Azure, and GCP with JIT and JEA access control
    • Wrote HLD and LLD designs with rigorous trade-off analysis for availability and cost
    • Delivered Serverless Framework apps with rapid deploy and resource optimisation

  3. Jul 2022 — Oct 2023

    Senior Software Engineer

    LTIMindtree

    Led backend delivery for a KYC platform in Hyderabad. Turned legacy endpoints into FastAPI microservices with JWT/OAuth2, SQS-driven async processing, and Redis caching so traffic spikes stayed isolated and APIs stayed fast.

    • Led KYC app delivery — data collection and completion via customer outreach
    • Converted legacy endpoints into FastAPI and AsyncIO micro-backends with LLD and OOP
    • Implemented JWT and OAuth2 auth and authz across distributed containerised microservices

  4. Sep 2021 — Jul 2022

    Senior Software Engineer

    GlobalLogic

    Built backend services for an MLOps web application in Hyderabad on Flask and SQLAlchemy. Automated Kubernetes workflows with the Python SDK, added Prometheus/Grafana monitoring, and load-tested services to remove memory and CPU hotspots.

    • Built Flask REST APIs with Marshmallow validation for MLOps web workflows
    • Modelled data with SQLAlchemy and kept database operations efficient
    • Automated pod and container workflows with the Kubernetes Python SDK

  5. Jan 2017 — Sep 2021

    Software Engineer

    Accenture

    Delivered Python process automation, Pandas/NumPy data transformations, and Flask REST APIs for enterprise clients in Hyderabad. Supported SQL workloads, legacy MS Access tooling, and production utilisation monitoring.

    • Automated enterprise delivery workflows with Python
    • Built custom data transforms with Pandas and NumPy
    • Implemented Flask REST APIs for internal and client-facing flows

Foundations

Education

  1. 2019 — 2021

    Education

    Master of Technology

    BITS Pilani, Hyderabad

    Graduate studies at BITS Pilani, Hyderabad campus — deepening systems thinking alongside full-time engineering work.

    • M.Tech coursework spanning systems, software, and applied computing

  2. 2012 — 2016

    Education

    Bachelor of Engineering

    Dayananda Sagar Institutions, Bengaluru

    Undergraduate engineering foundation in Bengaluru — where the long path into backends, platforms, and eventually AI systems began.

    • B.E. with a foundation in engineering fundamentals and problem solving

Toolbox

Skills

The stack I reach for — level and years on each skill.

  • PythonExpert · 9+ years
  • Agentic RAGExpert · 2+ years
  • System DesignExpert · 7 years
  • FastAPIExpert · 4 years
  • AsyncIOExpert · 5 years
  • AWSExpert · 6 years
  • LangGraphExpert · 2 years
  • PydanticExpert · 4 years
  • pytestExpert · 6 years
  • DockerAdvanced · 6 years
  • MongoDBAdvanced · 5 years
  • RedisAdvanced · 5 years
  • SQS / EventingAdvanced · 4 years
  • KubernetesAdvanced · 4 years
  • PostgreSQLAdvanced · 5 years
  • ObservabilityAdvanced · 4 years
  • TypeScriptProficient · 2 years
  • Next.jsProficient · 1+ years