Sabareesh S R
AI Automation

Agentic AI

RAG, prompt engineering, multi-agent systems, and vibe coding: autonomous pipelines that do the work in production.

Capabilities

The stack behind the agents.

(01)

RAG Systems

Retrieval-Augmented Generation pipelines that ground LLMs in proprietary data — vector databases, chunking strategies, and re-ranking for precision.

  • Vector DBs
  • Chunking
  • Re-ranking
(02)

Vibe Coding

AI-assisted software development where natural language drives the build loop — prompt-first engineering with Claude, GPT-4, and Cursor.

  • Versioned
  • Evaluated
  • Structured output
(03)

Vibe Designing

AI-native design workflows: generating UI prototypes, iterating on brand assets, and shipping polished visuals at 10× speed with Figma AI + Midjourney.

  • Planner
  • Worker
  • Evaluator
(04)

Enterprise AI Solutions

End-to-end AI roadmaps for mid-to-large organisations — from use-case identification and build-vs-buy decisions to change management and ROI measurement.

  • Claude
  • Cursor
  • Figma

Agents that do the work, not demos that talk about it.

In production

Shipped, running, measured.

Travzo Holidays
WEB / AI · Live

Travzo Holidays

Complete website with end-to-end lead capturing, accelerated with agentic AI development.

Contact Intelligence Agent
AI · Beta

Contact Intelligence Agent

Enriches and scores inbound contacts automatically, so every lead arrives already qualified with the context to act on.

Email Automation Agent
AI · Beta

Email Automation Agent

Drafts and sequences context-aware follow-ups from live CRM state, so no conversation goes cold without a human deciding it should.

Deal Intelligence Agent
AI · Beta

Deal Intelligence Agent

Reads the pipeline for risk, stalls, and next steps — turning a CRM full of records into a prioritized action list.

Also see