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You will get a custom multi-agent AI system designed for your workflows

Nihanth K.Status: Offline
Nihanth K. Nihanth K.
Rising Talent
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Nihanth, priced and ready to go.
Nihanth K.Status: Offline
Nihanth K. Nihanth K.
Rising Talent
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Nihanth, priced and ready to go.

Project details

I design and build multi-agent AI systems where specialized agents work together to automate complex workflows. Instead of one generalist bot that does everything poorly, you get a manager agent that delegates tasks to worker agents, each an expert at one job. Research agents scrape the web. Analysis agents crunch data and write SQL. Writer agents draft summaries. Reviewer agents fact-check and cite sources. This division of labor makes the system faster, more accurate, and cheaper.
My approach uses the manager-worker pattern with LangGraph. The orchestrator runs on a high-capability model like Claude Sonnet to plan and route tasks. Workers run on cheaper models like Haiku or Gemini Flash to execute narrow subtasks. Tiered routing cuts API costs by 40 to 60 percent. Shared memory lets agents pass context without re-explaining. Live tools via MCP give agents access to Slack, Gmail, databases, and APIs. Observability with MLflow tracks every call so you can debug with confidence.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
Azure OpenAI, Gradio, Hugging Face, Streamlit
AI Models
BERT, ChatGPT, GPT-4, LLaMA
What's included
Service Tiers Starter
$250
Standard
$750
Advanced
$1,800
Delivery Time 3 days 10 days 21 days
Number of Revisions
123
AI Model Integration
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Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
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Source Code
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Optional add-ons You can add these on the next page.
Fast Delivery
+$70 - $300
Additional Revision
+$60
Additional Agent
+$200
MCP Server Integration
+$150

Frequently asked questions

Nihanth K.Status: Offline

About Nihanth

Nihanth K.Status: Offline
Sde II
Hyderabad, India - 5:05 am local time
Hi, I’m Nihanth - a Generative AI Developer with 3+ years of experience building enterprise-grade AI solutions.

I specialize in designing and deploying production-ready RAG systems, graph-based AI applications, and agentic LLM workflows. I’ve worked with global organizations like S&P Global and Perficient, delivering scalable AI solutions using OpenAI, Azure OpenAI, Gemini, LangChain, and Hugging Face

What I can help you with:
• RAG-based chatbot development
• LLM application architecture
• Vector databases
• Graph-based AI systems
• End-to-end ML pipelines
• Cloud deployment on Azure, AWS, and GCP
• Responsible and compliance-aware AI systems
• End to end agentic workflows
• MCP Servers
• n8n Automation


I focus on building solutions that are not just innovative, but scalable, secure, and production-ready. Whether you need a custom AI chatbot, an automated workflow powered by LLMs, or a full-stack AI deployment, I can help you bring it to life.

Steps for completing your project

After purchasing the project, send requirements so Nihanth can start the project.

Delivery time starts when Nihanth receives requirements from you.

Nihanth works on your project following the steps below.

Revisions may occur after the delivery date.

Workflow mapping

Review your current workflow, data sources, tools, and success metrics to understand what needs automating.

System design

Design the agent architecture with roles, tools, memory layer, routing logic, and cost model documented.

Review the work, release payment, and leave feedback to Nihanth.