You will get AI/RAG Proof-of-Concept in 2 Weeks
Project details
Get a working RAG or AI-agent prototype running on YOUR data in two weeks — not a slide deck, not a generic demo you can't ship.
Most AI pilots stall because they're built on toy data and never tested for accuracy. This one is grounded in your documents, measured with a real eval harness, and deployed to a link you can share. You leave with an honest go / no-go on production — and the code.
WHAT YOU GET
• A grounded RAG pipeline or AI agent on your own data — retrieval tuned for your content
• An eval harness that measures answer accuracy, so quality is a number, not a vibe
• A deployed prototype on a shareable link, plus source code and a handoff walkthrough
• A go / no-go readout: what's production-ready and what it costs to get there
WHO IT'S FOR
Founders and teams who want to prove an AI feature works on real data before a full build.
WHY ME
25 years building production software for top-ranked global gaming and product-development companies — now shipping production AI: RAG, agents, and the guardrails most teams skip. GCP Professional Cloud Architect, model-agnostic (Claude, GPT, or open-weight).
Unsure your use case fits? Message me first — I'll tell you honestly.
Most AI pilots stall because they're built on toy data and never tested for accuracy. This one is grounded in your documents, measured with a real eval harness, and deployed to a link you can share. You leave with an honest go / no-go on production — and the code.
WHAT YOU GET
• A grounded RAG pipeline or AI agent on your own data — retrieval tuned for your content
• An eval harness that measures answer accuracy, so quality is a number, not a vibe
• A deployed prototype on a shareable link, plus source code and a handoff walkthrough
• A go / no-go readout: what's production-ready and what it costs to get there
WHO IT'S FOR
Founders and teams who want to prove an AI feature works on real data before a full build.
WHY ME
25 years building production software for top-ranked global gaming and product-development companies — now shipping production AI: RAG, agents, and the guardrails most teams skip. GCP Professional Cloud Architect, model-agnostic (Claude, GPT, or open-weight).
Unsure your use case fits? Message me first — I'll tell you honestly.
What's included $3,000
These options are included with the project scope.
$3,000
- Delivery Time 10 days
- Number of Revisions 1
About Nagaraju
AI Implementation Architect - Agentic AI, RAG | 25 yrs enterprise
Hyderabad, India - 4:30 am local time
What I bring that most contractors can't: senior-enough judgment to own the architecture and business outcome, hands-on enough to write the code and ship it.
Recent and current work:
• Built an AI document-automation platform for a structural/façade engineering consultancy — PDF extraction with full provenance, templated report generation, single stamped deliverable.
• Built a real-time data & analytics platform on Google Cloud — transaction monitoring, behavioral analytics, fraud detection.
• Architected high-traffic distributed systems for a global regulated gaming group — event-driven services, real-time complex-event processing, a European regulatory service delivered in 3 months.
Where I go deep:
• AI/LLM: agentic systems, RAG, embeddings, Vertex AI / Vector Search — plus AI strategy, technical decisions, and initiatives for complex AI needs
• Cloud: GCP architecture & modernization (Google Professional Cloud Architect)
• Backend: Python, Java, distributed systems, microservices, SRE
• Full delivery: design → build → ship, front ends
Stack and domain are not a constraint. 25 years across many technologies means I pick the right stack for the problem rather than forcing a favourite. Domains I've already shipped in include Healthcare, Insurance, Sports Betting/Gaming, GRC/Compliance, HCM, and Business Intelligence — including regulated environments — and I ramp fast into new ones.
I work solo on most engagements and can scale into a vetted senior team for larger builds when a project needs it. If you have a complex software or AI problem that's been stuck, send me the details — I'd rather discuss the specific problem than trade buzzwords.
Beyond enterprise delivery, I've served as a fractional AI partner to early-stage start-ups (Scout7, ValueMatrix) — building AI agents and production workflows — and I run an open-source AI bootcamp I deliver as hands-on corporate team training.
Steps for completing your project
After purchasing the project, send requirements so Nagaraju can start the project.
Delivery time starts when Nagaraju receives requirements from you.
Nagaraju works on your project following the steps below.
Revisions may occur after the delivery date.
Build & Deliver
I confirm your requirements, build and tune the prototype on your data, run the eval, deploy it, and hand off code + walkthrough — refining through revisions until it meets the agreed scope.