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$
USD
I will consult, design, and develop ai apps, rag and llm solutions
NikhilShirodkar
About this gig
Are you looking to turn cutting-edge artificial intelligence into practical business value?
As a professional AI Developer and Consultant, I help businesses design, architect, and deploy production-grade AI solutions. Whether you need an end-to-end custom app built from scratch or strategic technical consulting to audit and optimize your AI roadmap, I am here to help.
What I Offer:
AI Strategy & Architecture Consulting: Workflow audits, tech stack selection, and roadmap planning.
Custom AI Apps & RAG Systems: Connect your private data securely to large language models for hallucination-free retrieval.
Autonomous Agents & Automation: Build intelligent agents to cut operational overhead and accelerate workflows.
My Tech Stack:
Python, LangChain, LlamaIndex, OpenAI, Vector Databases, FastAPI, and Cloud integrations.
Get to know NikhilShirodkar
NikhilShirodkar
Senior AI Consultant and Full Stack Developer
- FromGermany
- Member sinceSep 2026
- Avg. response time6 hours
Languages
English, German
Freelance AI Developer & Consultant building production-grade LLM apps, custom RAG systems, and autonomous automation agents.
I help businesses cut operational overhead, accelerate workflows, and integrate secure AI features. Whether you need an end-to-end product built from scratch or strategic architecture consulting to optimize your roadmap, I turn complex AI into reliable, revenue-driving software.
Stack: Python, LangChain, LlamaIndex, OpenAI, Vector DBs, FastAPI, Cloud.
FAQ
What is included in the AI consultation session?
I will review your current business workflows, discuss your technical requirements, evaluate feasibility, and outline a custom AI strategy or architecture roadmap tailored to your goals.
What kind of data can be integrated into a RAG system?
I can securely connect your custom AI apps to various private data sources, including PDFs, Word documents, text files, SQL/NoSQL databases, and custom knowledge bases for accurate, context-aware retrieval.
Which technologies and models do you use?
I primarily build using Python, LangChain, LlamaIndex, FastAPI, and leading LLM providers like OpenAI and Anthropic, alongside vector databases like Pinecone, Qdrant, or Chroma.
Do you provide ongoing maintenance or support after delivery?
Yes! I ensure every solution is fully tested before delivery and offer ongoing support options to help you scale, optimize token costs, or add new features as your business grows.
