AI Architect & Enterprise Automation Engineer

Production-Grade AI Systems, Built for Impact

I design and deploy RAG architectures, multi-agent workflows, and AI-powered automation that help organizations move from experimentation to reliable production systems.

Gen AI · Agents · Agentic AI · Machine Learning · Cloud · CI/CD
Srinivas Bathula

Organizations I've Contributed To

KPMG
TCS
Infosys
Cognizant
L&T
NIIT
Eastspring
Nomura
DBS
SGX
Temasek
GovTech
KPMG
TCS
Infosys
Cognizant
L&T
NIIT
Eastspring
Nomura
DBS
SGX
Temasek
GovTech

Professional Background

Over 12 years of architecting
enterprise software and automation.

I've delivered scalable software systems and intelligent automation workflows across operational and financial domains. Today, I focus on building production-grade AI systems that integrate LLMs into real business processes.

12+
Years Experience
50+
Workflows Delivered
AI + RPA
Focus Area
RAG & Agents
Architecture
12+ Years Enterprise Experience
50+ Automation Workflows Delivered
AI + RPA Integration in Production
Architecting RAG & Multi-Agent Systems

What I Build

Direct business value through AI.

Intelligent Knowledge Systems

RAG-powered platforms that transform scattered enterprise data into structured, searchable, and actionable intelligence.

AI-Enhanced Automation

Embedding LLM reasoning into automation pipelines to reduce repetitive manual processing and improve accuracy.

Multi-Agent Architectures

Designing orchestrated agent workflows for structured reasoning, compliance validation, and intelligent analysis.

AI-Enabled Web Platforms

Full-stack AI applications deployed securely on AWS and modern cloud infrastructure.

Real-World Use Cases

Practical Applications
of My Work

Automated compliance document analysis
AI-powered complaint classification & insight extraction
Intelligent summarization engines
Enterprise workflow decision support systems
Synthetic data generation for model experimentation

Selected Projects

Systems in Production

View Full Portfolio

Enterprise Multi-Agent Banking Intelligence System

Autonomous Banking Analytics – Multi-Agent System

Autonomous orchestration framework for banking analytics and financial workflow automation.

PythonCrewAIFastAPIAWSLangChain

Autonomous Legal Compliance Intelligence

AI Smart Terms & Conditions Digest Agent

Multi-agent RAG pipeline for automated legal document extraction and risk analysis.

PythonLangChainAWSFastAPI

Autonomous Web Intelligence & Scraping Framework

OpenClaw – Enterprise Web Intelligence & Automation

A production-grade framework designed for autonomous web data extraction and real-time intelligence gathering.

PythonPlaywrightSeleniumLLM Orchestration

Architect-Level Thinking

How I Design Production AI Systems

01

Problem & Workflow Mapping

Understanding the operational bottleneck and mapping the precise automated path.

02

Data & Retrieval Architecture

Designing robust RAG bridges for secure, contextual enterprise data access.

03

Model & Agent Design

Selecting optimal foundation models and orchestrating specialized agent roles.

04

Evaluation & Guardrails

Implementing systematic checks for accuracy, latency, and compliance.

05

Deployment & Observability

Deploying to secure cloud infrastructure with full monitoring and tracing.

06

Continuous Optimization

Iterative refinement based on real-world usage and performance data.

Insights & Thought Leadership

AI Architecture & Operational Strategy

Insights drawn from real-world enterprise AI deployments, system architecture design, and multi-agent orchestration research.

Explore Technical Briefs →

Reference Architectures & Technical Briefs

Let's Build AI That Works in Production

If you're exploring RAG systems, AI agents, or intelligent automation — I'd be glad to collaborate or discuss opportunities.