00 / Introduction

Rahul N R.

Senior AI Platform Engineer & Cloud Architect. Building systems that think, scale, and endure.

Years of experience

AI + Cloud

Current specialization

GCP · AWS · Azure

Cloud platforms

Explore Work LinkedIn GitHub

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01 / Origin

“I started with COBOL on mainframes. Now I architect intelligence for the cloud.”

My engineering journey began in 2018 as a trainee navigating mainframe systems — COBOL, JCL, batch processing. While others saw legacy, I saw architecture: systems designed to run at scale, reliably, without noise.

Over 7+ years at Infosys, I evolved through telecommunications operations, data engineering pipelines, and cloud infrastructure. Each layer sharpened how I think about resilience, automation, and systems design.

Today I design AI platforms — Generative AI systems, LLM workflows, agentic pipelines — that bring intelligence into the operational layer. The goal has never changed: build things that work, at scale, without drama.

Based in

Chennai, India

Currently

Consultant @ Infosys

Specialization

AI Platform Engineering

Open to

Remote opportunities

02 / Journey

2025 — PresentCurrent

Consultant

Infosys Ltd. · Chennai, India

—Architected AI-powered ML systems using LLMs and Generative AI to automate engineering workflows across client environments
—Managed a team of 3 engineers — providing technical guidance and delivering AI-driven operational insights
—Bridged technical teams and business stakeholders through client-facing consulting and analytical communication

2023 — 2025

Senior Associate Consultant

Infosys Ltd. · Chennai, India

—Optimized critical data pipelines across AWS services, ensuring data integrity across complex multi-stage workflows
—Proactively resolved database operational issues in partnership with clients for direct resolution of application defects
—Coordinated cross-functional teams and stakeholders through effective communication on data delivery projects

2022 — 2023

Associate Consultant

Infosys Ltd. · Chennai, India

—Automated report preparation workflows — achieving a 90% reduction in processing time and significant productivity gains
—Resolved data quality and schema integrity issues underpinning critical business decisions
—Authored comprehensive documentation for automated data handling systems and processes

2020 — 2022

Senior Systems Engineer

Infosys Ltd. · Chennai, India

—Specialized in COBOL/JCL mainframe operations for Australian telecommunications clients at enterprise scale
—Developed Python automation scripts to generate complex output reports from large mainframe inputs
—Investigated and resolved complex system defects and operational issues across production environments

2019 — 2020

Systems Engineer

Infosys Ltd. · Chennai, India

—Managed full project lifecycle for Australian telecommunications operations on mainframe systems
—Delivered reliable COBOL/JCL-based customer record operations and defect resolution

2018 — 2019

Systems Engineer Trainee

Infosys Ltd. · Mysore, India

—Foundation training in Mainframe technologies: COBOL, JCL, DB2
—Introduction to Java and Python — the beginning of a multi-year engineering journey

03 / Arsenal

Hover a node to explore its connections

AI / ML

Cloud & Infra

Data

Languages

Web & DevOps

04 / Credentials

Applied Generative AI Professional

Infosys Certified

2025

Snowflake Data Warehouse Developer

Infosys Certified

2025

Scrum Master Certified (SMC)

SCRUMstudy

2024

Professional Cloud Architect

Google Cloud

In Progress

Azure AI Fundamentals

Microsoft Certified

2021

Python Programmer

Infosys Certified

2020

05 / Thoughts

All posts →

2026-01-15 · 2 min read

From Black Box to Glass Box - Real-Time Observability Unleashed

Transforming a distributed system into a transparent powerhouse with Prometheus and Grafana.

Read →

06 / Work

Selected projects — more coming

Project COSMOS

Active — Phase 4 / 16

AI-powered codebase analysis & developer onboarding platform

An intelligent platform that autonomously analyzes codebases to generate technical documentation and accelerate developer onboarding. Currently in Phase 4 of 16 — a long-term personal initiative applying agentic AI at scale.

PythonGCPVertex AICloud RunLLMsGKEFirebase

GitHub ↗

PolicyPal

Completed

Instant answers from complex internal policy documents

Built a RAG-based AI assistant that understands and retrieves precise answers from dense internal policy documents. Replaces manual search with a conversational interface backed by Gemini and vector retrieval.

PythonGoogle Gemini APIRAGNLPLLMs

GitHub ↗

Fin-Advisor

Completed

AI-driven financial analysis and stock price prediction

Analyzes historical financial data and generates stock price predictions using GPT API. Features an interactive Streamlit dashboard for exploring trends, patterns, and model insights.

PythonGPT APIStreamlitScikit-learnPandas

GitHub ↗

07 / Connect

Let’s build something intelligent.

Open to new opportunities, consulting conversations, and interesting AI/Cloud engineering challenges. Reach out and I’ll respond promptly.

Emailn.r.rahulvarma@gmail.com

LinkedInlinkedin.com/in/ntjrrvarma

GitHubgithub.com/ntjrrvarma