Senior Backend & AI Systems Engineer

Vignesh Babu O.R. AI & Platform Systems

Senior Backend Engineer building AI-powered systems, agent workflows, and reliable production platforms.

13+ years of experience across backend engineering, payment systems, production reliability, APIs, and enterprise integrations — now focused on practical AI engineering with LLMs, RAG, MCP, SLMs, and agent-driven automation.

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agent_architecture.v1.sys
👤

User / Trigger Event

Natural Language Prompt / Incident Alert

Input
↓
🧠

AI Agent & SLM Orchestration

Ollama / LLM Reasoning + RAG Context

Reasoning
↓
⚙️

Tool Calling & MCP Gateway

n8n / PostgreSQL / Human Approval

Guardrails
↓
📊

APIs & ELK / Grafana Telemetry

PostgreSQL APIs + ELK Logs & Grafana Metrics

Execution
Engineering Profile

About Me

Senior Software Engineer with 13+ years of experience building high-availability backend systems, payment platforms, REST APIs, and enterprise production infrastructure.

Currently focused on Applied AI Engineering, developing LLM-powered applications, multi-step agent workflows, RAG knowledge retrieval systems, MCP integrations, and local SLM solutions using Python, FastAPI, Ollama, PostgreSQL, and modern workflow orchestration engines.

Driven by a focus on engineering reliability: building AI systems with strict tool schemas, explicit context handling, observable execution telemetry via ELK Stack & Grafana, and human-in-the-loop validation for critical production workflows.

13+
Years Backend Experience
99.9%
Production Availability Focus

Career & Technology Progression

Evolution from traditional backend infrastructure to practical AI & agentic systems:

Core Backend PHP, PostgreSQL, REST APIs, E-Commerce Systems
Payments & Enterprise Payment Gateways, SAP / Salesforce Integrations, Microservices
Platform & Reliability Production Operations, CI/CD Automation, ELK Stack & Grafana
Applied AI & Agents Python, FastAPI, PostgreSQL, Ollama SLMs, RAG, MCP, Agent Workflows
Featured Work

Engineering & AI Projects

Real-world backend systems and practical AI implementations with integrated ELK Stack logging and Grafana metrics.

Prototype / In Progress

AI Personal Assistant

SLM-Powered Productivity & Workflow Automation Engine

Building an AI-powered personal productivity assistant using n8n and Ollama-hosted Small Language Models (SLMs) to manage emails, tasks, calendar meetings, and workflows with multi-step tool calling, approval gates, and ELK/Grafana observability.

System Architecture Flow
User Prompt → Ollama SLM → Agent Reasoning → n8n Tools → Google APIs → ELK / Grafana
✔ Natural-language intent detection & slot filling
✔ Multi-step tool selection & schema validation
✔ Human approval workflows for sensitive actions
✔ ELK Stack log indexing & Grafana operational dashboards
n8n Ollama SLM Python Google APIs PostgreSQL ELK Stack Grafana
In Progress

Configuration Intelligence Agent

Business Requirements to Production Configuration Planner

An AI-powered engineering assistant that converts complex business logic and payment integration requirements into structured production configuration plans, dependency maps, and risk checklists with ELK/Grafana monitoring.

System Architecture Flow
Business Requirement → Clarifying Questions → RAG Knowledge → Planning Agent → Checklist Validation → ELK / Grafana
✔ Requirement analysis & dynamic clarifying questions
✔ RAG retrieval over architecture rules & PostgreSQL schemas
✔ Automated dependency & conflict validation
✔ Telemetry logging in ELK Stack & Grafana performance dashboards
Python FastAPI LLM RAG PostgreSQL Rule Engine ELK Stack Grafana
Prototype

HolmesGPT

LLM Incident Investigation Assistant

An AI site-reliability assistant designed to accelerate incident investigation by pulling log streams from ELK Stack, querying historical runbooks via vector search, and tracking incident diagnostic metrics in Grafana.

System Architecture Flow
Incident Alert → ELK Log Retrieval → RAG Runbook Search → LLM Reasoning → Root Cause Diagnosis → Grafana Metrics
✔ Automated log aggregation from ELK Stack upon alerts
✔ Vector RAG search over operational runbooks
✔ LLM anomaly correlation & probability scoring
✔ Actionable CLI diagnostic steps & Grafana alert trend tracking
Python LLM RAG Vector Search Runbooks ELK Stack Grafana
Completed

AI Health Tracker & Pedometer

Android Fitness Application with Google AI Integration

A native Android application utilizing device hardware sensors for step tracking and Google AI APIs to provide context-aware activity analysis, backed by PostgreSQL persistence and ELK/Grafana telemetry.

System Architecture Flow
Motion Sensors → Step Counter → PostgreSQL → Google AI API → Wellness Insights → ELK / Grafana
✔ Real-time step counting & distance estimation
✔ Google AI integration for activity summaries
✔ PostgreSQL storage & ELK/Grafana system monitoring
Android Kotlin/Java Google AI Sensors API PostgreSQL ELK Stack Grafana
Career History

Professional Experience

13+ years delivering scalable backend services, payment platforms, and production platform reliability.

Senior Software Engineer

TWID (Pay with Rewards), Bangalore
Oct 2021 – Present
  • Architecting and scaling backend services for payment reward point redemptions across high-volume merchant integrations.
  • Reduced incident detection and resolution time by ~60% through ELK centralized logging, Metabase/Grafana dashboards, and standardized SOPs.
  • Automated release engineering and deployment processes with CI/CD pipelines, enabling seamless daily deployments.
  • Investigating complex production payment gateway anomalies, status reconciliation issues, and third-party API edge cases.
  • Mentoring engineering peers in system debugging, clean backend architecture, and operational reliability.

Tech Lead

Perisoft Technologies, Chennai
Mar 2019 – Oct 2021
  • Led a team of 5 engineers building enterprise backend integrations for e-commerce platforms.
  • Architected API microservices integrated directly with SAP ERP and Salesforce Commerce Cloud.
  • Optimized cloud infrastructure spending on AWS while maintaining high service availability and sub-second response times.

Tech Lead

Fashalot Pvt Ltd, Bangalore
Feb 2017 – May 2018
  • Constructed high-throughput RESTful API backends supporting retail merchant applications.
  • Achieved 99.9% system availability during flash sales and peak shopping traffic windows.
  • Designed transactional voucher validation & bill approval engine with zero financial discrepancy.

Full Stack Developer

Tech R Labs, Chennai
Jun 2014 – Feb 2017
  • Architected custom web modules and database schemas from the ground up.
  • Built third-party payment gateway integrations and custom checkout extensions.

PHP Developer

Netgrow Systems & Swis Info Services
Jun 2010 – Jun 2014
  • Developed custom web applications, database tables, and client administration panels.
  • Optimized SQL queries and improved web frontend interaction speeds.
Core Competencies

Technical Skills

⚡

AI & Agent Systems

LLMs RAG AI Agents MCP Protocol Tool Calling Prompt Engineering Ollama OpenAI APIs Google AI / Gemini
⚙️

Languages & Frameworks

Python FastAPI PHP Laravel SQL JavaScript React (Working Exp) TypeScript (Working Exp)
🔀

Automation & Workflows

n8n LangGraph Workflow Orchestration CI/CD Pipelines Automated Testing
🗄️

Databases & Storage

PostgreSQL MySQL Redis Vector Databases SQLite
☁️

DevOps & Cloud Infrastructure

Docker AWS (EC2, S3, RDS) AWS VPC & IAM SQS / SNS Linux Git
📊

Observability & Monitoring

ELK Stack Grafana Metabase Centralized Logging Incident Response
📄

Curriculum Vitae

Review the complete engineering record, backend achievements, and detailed career history in the official resume.

Open Resume (PDF)
Get in Touch

Let's Connect

Interested in engineering collaboration, AI systems architecture, or backend leadership roles?

Email

vigneshbabuor@gmail.com

Phone

+91 9500404369

LinkedIn

vigneshbaburajan98

GitHub

vigneshbabuor