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I will create ai automation systems with production deployment


About this gig
I build production-ready multi-agent AI systems that deliver measurable results.
RECENT PROJECT: SENTINEL
- 5-agent orchestration pipeline
- 95% reduction in research time (days to minutes)
- 70% token optimization
- Live demo available at my portfolio
WHAT YOU GET:
- Custom multi-agent architecture (3-10 agents)
- Sequential or parallel orchestration
- Agent communication protocols
- Production deployment on GCP
- Monitoring and logging setup
- Complete documentation
- 30-day post-launch support
TECHNOLOGIES:
- Claude & Gemini 3.0 Pro/Flash
- LangChain for orchestration
- Python + FastAPI backend
- GCP Cloud Run deployment
- Vector databases (Pinecone/Weaviate)
PERFECT FOR:
- Competitive intelligence automation
- Research and data synthesis
- Document processing pipelines
- Complex decision-making systems
- Business process automation
MY CREDENTIALS:
- 19 Google Cloud certifications
- 4 Oracle certifications
- 3 production AI systems deployed
- Portfolio: aditya-gaurav-portfolio.vercel.app
All projects include live demos before final payment.
Get to know Aditya Gaurav
AI ML Engineer, Multi Agent Systems, Faster and Efficient Results
- FromIndia
- Member sinceJan 2026
Languages
English
FAQ
Do you have examples of working AI systems I can see?
Yes! All 3 projects have live demos: Sentinel (95% faster research), F.R.I.D.A.Y (96% faster Visualization), EdGrab (sub-500ms voice AI). Test them yourself at: aditya-gaurav-portfolio.vercel.app. I build production systems, not demos.
How does the development process work?
1) Free discovery call (30 min) 2) Detailed proposal (24 hrs) 3) Development with updates every 2-3 days 4) You review and request changes 5) Production deployment with docs 6) 30 days support You see working prototypes within first week.
What AI technologies and platforms do you work with?
AI: Gemini, Claude, OpenAI. Frameworks: LangChain, PyTorch. Backend: Python, FastAPI. Databases: PostgreSQL, Pinecone, MongoDB. Cloud: GCP (19 certs), AWS. Frontend: React, Next.js. I integrate with ANY existing system or API.
Why are your prices higher than other AI developers?
Others offer demos that break in production. I deliver enterprise-grade systems with GCP deployment, 30-day support, and 95-96% proven improvements. You're paying for systems that work at scale, not just code. Clients see ROI within weeks.
What if I'm not satisfied with the final result?
Multiple safeguards: (1) Test live demo before payment (2) Milestone approvals (3) 2-5 revisions included (4) Full source code ownership (5) 30-day support. See my 3 live production systems before ordering. Goal: long-term relationships.

