Autonomous AI Agent & RAG Development in Kerala
Private Enterprise LLMs · Multi-Agent Workflows · Secure Local RAG Pipelines
Custom AI agent and RAG development in Kerala by Senior Solution Architect Abin S Chandran. Enterprise LangChain/LlamaIndex pipelines, pgvector search, and automated business workflows.
Modular Capabilities & Engineering Standards
Every system is engineered from the ground up for high performance, zero vendor lock-in, and rapid return on investment:
Autonomous Multi-Agent Task Execution
Multi-agent architectures that plan, reason, execute database queries, and automate complex customer and operational workflows with zero human intervention.
- LangChain & LangGraph multi-agent orchestration
- Autonomous tool calling & SQL database query execution
- Self-correcting code & data extraction workflows
- Human-in-the-loop review checkpoints for sensitive actions
Enterprise Document RAG with pgvector & Hybrid Search
High-accuracy semantic search across proprietary enterprise PDFs, databases, and contracts with dense vector embeddings and BM25 hybrid ranking.
- pgvector dense embeddings with sub-50ms query latency
- Hybrid BM25 keyword + semantic vector retrieval
- Hierarchical semantic chunking preserving table context
- Context window compression & citation source grounding
Private & Air-Gapped LLM Deployments
Self-hosted open weights (Llama 3, DeepSeek, Mistral) on dedicated cloud infrastructure or secure Gemini/OpenAI API proxies with strict PII anonymization.
- Self-hosted Llama 3 / DeepSeek on dedicated GPU instances
- Zero data retention & PII redaction proxy pipelines
- Strict SOC-2 and GDPR compliance architectures
- Cost-optimized token caching & prompt optimization
Conversational WhatsApp & CRM AI Bots
Intelligent multi-lingual Malayalam/English customer support agents integrated directly with your CRM and Meta WhatsApp Business Cloud API.
- Meta WhatsApp Cloud API webhook integration
- Natural conversational English & Manglish lead qualification
- Automatic CRM lead creation & sales rep handoff
- 24/7 instant FAQ answering grounded in company documents
Real-World Architecture in Production
MSME Growth CRM & Lead Automation Engine
Multi-tenant B2B enterprise platform serving Kerala and Middle East enterprises with zero per-seat software licensing fees.
Solo Solution Architect vs. Agency Bloat
Compare direct engineering ownership with typical software agencies:
| Dimension | Abin S Chandran (Direct) | Traditional Regional Agency | Off-The-Shelf SaaS |
|---|---|---|---|
| Direct Communication | 1:1 Direct with Senior Architect | Filtered via non-technical account managers | Impersonal chatbot ticket queues |
| Code & IP Ownership | 100% Full IP & Git repo handover | Often locked in proprietary agency modules | 0% ownership (Vendor locked in forever) |
| Monthly License Fees | ₹0/month (Fixed one-time build) | Expensive monthly retainer contracts | ₹2,500–₹8,000/seat/month recurring tax |
| Turnaround Speed | 2 to 4 weeks production MVP | 3 to 6 months with endless change orders | Days to set up, but rigid & unadaptable |
From Discovery to Production Deployment
Discovery & Spec
48-hour deep dive into business workflows, edge cases, schema requirements, and API dependencies.
Data & API Architecture
Relational schema design, RBAC permission matrices, cryptographic HMAC signature verifications.
Milestone Sprints
Rapid 14-day production sprints with live staging demo environments, automated tests, and client review.
Launch & Warranty
Production DNS cutover, zero-downtime deployment, 30-day warranty, and 100% code handover.
Frequently Asked Questions
How does an autonomous AI agent differ from a standard chatbot?+
A standard chatbot only matches static text templates. An autonomous AI agent leverages frontier reasoning models (Gemini 2.5/GPT-4o/Claude) equipped with tools: it can inspect your database, check product inventory, generate an invoice, draft an email, and update your CRM autonomously without human intervention.
Will our proprietary company data be used to train public AI models?+
No. We design strict zero-data-retention architectures utilizing private enterprise APIs or self-hosted open-weight models (Llama 3 / DeepSeek) where your intellectual property and customer records are never shared or used for model training.
What is RAG (Retrieval-Augmented Generation) and why does our business need it?+
RAG connects large language models directly to your private company documentation, product manuals, or contract archives. Instead of hallucinating, the AI retrieves verified facts from your database and cites the exact source before generating an answer.
How quickly can an AI agent or RAG system be deployed in production?+
A functional private proof-of-concept (POC) connected to your data is built in 5 to 7 days, and an enterprise production deployment with WhatsApp or web integration typically takes 2 to 3 weeks.
Start a Project with Direct Technical Ownership
Tell me what you are building, what is currently blocked, and what outcome you need. I will review the brief and suggest the right next step: discovery, architecture, a fixed-scope build, or a technical audit.
📞 Direct Call: Mon–Sat, 9:30 AM–7:30 PM IST · WhatsApp 24/7
Let's Build Your Custom Web Application
Whether you need a full-stack web app, a Node.js REST API, a Next.js SaaS MVP, an admin dashboard, or performance optimization for an existing application — I am available for freelance projects in Kerala, India, and worldwide.