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$
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I will develop rag pipeline, langchain llm app and vector database
Navneet Chalana
About this gig
Most AI projects never leave the demo stage not because the idea was bad, but because the architecture was wrong from day one.
Wrong model. Wrong retrieval strategy. Wrong vector database. The result: hallucinations, exploding API costs, and a PoC that can't survive real users.
I fix that.
I design and build production-grade LLM architectures that are built to scale starting with your use case and working backward to the right stack.
RAG vs. Fine-tuning vs. AI Agents I tell you exactly what to build
Model selection: OpenAI vs. Anthropic vs. Llama with cost vs. performance analysis
Vector DB architecture: Pinecone, Weaviate, FAISS
Hallucination guardrails + evaluation pipelines
MLOps & production deployment blueprint
Cost optimization stop paying for tokens you don't need
Built on 20+ years of enterprise architecture experience across IIoT, HealthTech, and AI platforms.
3 Packages:
Signal: Architecture audit + model selection doc
Inference: Full RAG pipeline build + integration
Command: Complete LLM system, MLOps, evals + cost optimization
Message me before ordering let's make sure we're the right fit.
Get to know Navneet Chalana
Navneet Chalana
Founder CTO
- FromIndia
- Member sinceJul 2025
- Avg. response time1 hour
Languages
English
AI & platform consultant with 20+ years building and deploying production-grade systems. I've built WackoWave — a live AI Platform Intelligence product used by enterprise staffing firms in the US — using LLMs, RAG, NLP, computer vision, FastAPI, Supabase, and React.
I solve real business problems: legacy-to-AI modernisation, document intelligence, IIoT systems, and enterprise architecture. Not theory. Production code.
If you need someone who has actually shipped AI at scale — let's talk.
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FAQ
How do I know which package is right for me?
If you're still deciding on your AI stack — start with Signal. If you have a use case and need it built — go Inference. If you need a full production system — Command is your answer. Message me and I'll tell you in 5 minutes.
Do I need technical knowledge to work with you?
No. I work with both technical CTOs and non-technical founders. I translate architecture decisions into plain business outcomes — cost, speed, accuracy, and risk.
What if I already have an existing AI system that isn't working?
That's actually my most common engagement. Share what you've built, I'll audit it and tell you exactly what's broken and how to fix it — before we touch a single line of code.
Will I own the source code?
Yes. Inference and Command packages include full source code handover. You own everything — no lock-in, no dependencies on me to keep it running.
How long before I see results?
Signal delivers in 3 days. Most clients tell me the architecture doc alone saves them months of wrong decisions. Inference and Command have clear milestones — you'll see working output within the first week.
