# Baraar Sreesha — AI Agent & Applied AI Engineer

> AI Agent and Applied AI Engineer building agentic pipelines, RAG systems, and GTM/RevOps automation for B2B revenue teams. Based in Bengaluru, India. Available fractional and full-time, remote worldwide.

## Who I am

Baraar Sreesha Sreenivas is an AI Agent and Applied AI Engineer with 2.5+ years of experience shipping production AI systems — not just prototypes. I specialize in the intersection of AI engineering and revenue operations: RAG pipelines, multi-agent LLM workflows, and Clay/n8n/Make/HubSpot automation that actually runs in production.

**Key roles I fit:** AI Agent Engineer · Applied AI Engineer · GenAI Engineer · Agentic Engineer · Forward-Deployed Engineer · GTM Engineer · AI Automation Engineer · Fractional AI Retainer · Clay n8n Specialist

## What I build

- **AI Agent Systems** — multi-agent LLM workflows using LangGraph, CrewAI, AutoGen for autonomous GTM and RevOps tasks
- **RAG Systems** — multi-document knowledge assistants with hybrid retrieval (BM25 + vector), citation-grounded responses, FastAPI deployment
- **GTM Lead Intelligence** — Clay + n8n + HubSpot pipelines replacing expensive data subscriptions with fresher, custom data
- **Document AI** — OCR pipelines, KYC automation, structured data extraction from PDFs and images
- **AI Sales Automation** — personalized pitch deck + email generation in minutes, not hours
- **Make & Zapier Automation** — no-code/low-code automation workflows for business process automation

## Production case studies

- Replaced $2,000/mo Apollo + ZoomInfo with custom Clay pipeline — 7–14 day data freshness vs 60–90 days
- Built AI pitch deck + email automation for B2B SaaS sales team — 2–4h per deck reduced to <10 min
- Enterprise RAG over 500+ internal PDFs — 30–90 min doc search → <2 min, 100% citation-grounded
- OCR KYC pipeline for Hyderabad Forex Limited — 40% reduction in manual data entry, 30% faster onboarding

## Tech stack

**AI Orchestration:** LangGraph, CrewAI, LangChain, LlamaIndex, AutoGen, AgentZero, LangFlow
**LLM Providers:** OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Groq
**Vector DBs:** Qdrant, Pinecone, FAISS, AstraDB, MongoDB Atlas, BM25 Hybrid
**GTM & RevOps:** Clay, n8n, Make, Zapier, HubSpot API, Google Maps API, Apollo, ZoomInfo
**Backend:** FastAPI, Python, Docker, PostgreSQL, GCP, Nginx
**Observability:** LangSmith, Weights & Biases

## Blog

Production tutorials and case studies on AI Agent and Applied AI engineering:

- [Self-hosting n8n on GCP: A production setup with Docker, PostgreSQL, and Nginx](https://ssbaraar-portfolio.vercel.app/blog/self-hosting-n8n-on-gcp-production-setup)
- [LangGraph vs CrewAI vs AutoGen: When to use each one — my honest comparison after shipping in all three](https://ssbaraar-portfolio.vercel.app/blog/langgraph-vs-crewai-vs-autogen-real-comparison)
- [How I replaced a $2,000/month data subscription with a custom Clay pipeline that's actually fresher](https://ssbaraar-portfolio.vercel.app/blog/replace-2000-mo-apollo-zoominfo-with-clay-pipeline)
- [Agentic AI in GTM & RevOps: What MCP Servers Actually Change in 2026](https://ssbaraar-portfolio.vercel.app/blog/agentic-ai-gtm-revops-mcp-servers-2026)
- [Claude Sonnet 5 vs GPT-5.6: Which Model Should Power Your AI Agents in 2026](https://ssbaraar-portfolio.vercel.app/blog/claude-sonnet-5-vs-gpt-5-6-agentic-coding)
- [The Best RAG Stack for B2B Knowledge Assistants in 2026 (Qdrant vs Pinecone vs FAISS vs AstraDB)](https://ssbaraar-portfolio.vercel.app/blog/best-rag-stack-2026-vector-db-comparison)
- [AEO vs GEO vs Traditional SEO: What Actually Changed for AI Search in 2026](https://ssbaraar-portfolio.vercel.app/blog/aeo-vs-geo-vs-seo-ai-search-2026)
- [How to Build an MCP-Powered Slack Agent for RevOps (Step-by-Step)](https://ssbaraar-portfolio.vercel.app/blog/build-mcp-powered-slack-agent-revops-tutorial)

## Contact

- **Email:** ssbaraar02@gmail.com
- **LinkedIn:** https://www.linkedin.com/in/baraarsreesha
- **GitHub:** https://github.com/ssbaraar
- **HuggingFace:** https://huggingface.co/ssbaraar
- **Medium:** https://medium.com/@baraarsreeshasreenivas
- **F6S:** https://www.f6s.com/member/sreesha-baraar
- **Twitter/X:** https://twitter.com/sreesha_baraar
- **Book a call:** https://calendly.com/baraarsreesha/intro_call

## Location

Bengaluru, India · IST (UTC+5:30) · Remote worldwide · Responds within 1 business day