I will build custom ai chatbot, ai agent and multi agent systems
About this gig
Are you looking to automate complex workflows or build intelligent AI applications using cutting-edge LLMs and multi-agent frameworks? I specialize in building end-to-end, production-grade AI agents, RAG systems, and custom LLM solutions tailored for your business needs.
What I Offer:
- Custom AI Agents & Multi-Agent Systems: Deterministic and autonomous agent orchestration built using LangGraph, CrewAI, and n8n.
- Production RAG Pipelines & Hybrid Data Assistants: High-accuracy semantic search engines over your custom documents/URLs and Text-to-SQL databases for seamless data analytics using ChromaDB, FAISS, and LangChain.
- Full-Stack AI Web Apps: Interactive UI and REST APIs built with Streamlit, FastAPI, Next.js, and Supabase.
- Model Integration & Persistence: Integration with Groq, OpenAI, Claude, and AWS Bedrock AgentCore with stateful memory persistence.
Tech Stack:
- Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, Langsmith
- Vector & Relational DBs: ChromaDB, FAISS, Supabase (PostgreSQL), SQLite
- Backend & Web: Python, TypeScript, FastAPI, Streamlit, Next.js, Docker
Transform your manual operations into autonomous AI workflows. Please message me before placing an order to di
Get to know Vasanth K
AI Developer
- FromIndia
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English, Tamil, Hindi, Kannada
FAQ
What do you need from me to get started?
Please provide a brief outline of your goals, any preferred LLMs/APIs (e.g., OpenAI, Groq, Anthropic), and sample datasets or API documentation if applicable. We can also schedule a quick discussion to finalize specs.
Do I need to pay for API costs or GPU server hosting?
Yes, all third-party API costs (e.g., OpenAI, Serper, AWS) and hosting fees are paid directly by the client. I can also build systems using 100% local models (Ollama/Mistral) to keep running costs at zero.
Can you deploy the AI application to cloud hosting?
Absolutely! I can containerize your application using Docker and deploy it to platforms like GCP (Google Cloud Platform), AWS (Bedrock, ECR, CodeBuild), Azure, Vercel, or Streamlit Cloud depending on your selected package.
What if I want a fine-tuned model but don't have a clean dataset ready?
No problem. I can assist in converting your raw text, CSVs, or unstructured logs into a structured JSONL dataset suitable for Parameter-Efficient Fine-Tuning (PEFT/LoRA) with open-source models.
Do you provide support after the order is completed?
Yes, every order includes standard post-delivery support to ensure smooth integration and setup on your end
