You will get your business workflows automated with custom AI agents
Project details
Tired of repetitive tasks slowing your team down? I build custom AI agents that connect to your existing tools — CRM, email, calendar, databases, Slack, Notion, and more — and automate the workflows eating up your time.
Unlike generic no-code automations, these are production-grade AI systems that understand context, make decisions, and handle edge cases. Built with Python, FastAPI, and LangGraph, every agent is delivered with clean documentation and a setup guide so your team can hit the ground running.
Whether you need a single workflow automated or a full multi-agent system, I'll scope it, build it, and hand it over ready to deploy.
Unlike generic no-code automations, these are production-grade AI systems that understand context, make decisions, and handle edge cases. Built with Python, FastAPI, and LangGraph, every agent is delivered with clean documentation and a setup guide so your team can hit the ground running.
Whether you need a single workflow automated or a full multi-agent system, I'll scope it, build it, and hand it over ready to deploy.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, Automatic Speech Recognition, Conversational AIAI Development Language
PythonAI Models
GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
About Mohnish
AI Engineer | Autonomous Agents, LLM Solutions & RAG Systems
Bengaluru, India - 7:31 pm local time
🎯 Core Competencies
• Multi-agent orchestration: Planner, Researcher, Executor pipelines
• LangGraph & CrewAI for autonomous workflow management
• Retrieval-Augmented Generation (RAG) for knowledge-grounded decision making
• Tool integration: APIs, SaaS platforms, databases, and internal systems
💼 What I Build
• Autonomous agents for enterprise workflows (e.g., RFP response automation, internal knowledge assistants)
• AI systems that combine planning, reasoning, and iterative action loops
• Knowledge retrieval systems that ground LLMs in domain-specific data
• Multi-step task automation pipelines with error handling and iterative improvements
🛠️ Technical Stack
• LLMs: GPT-4o, Google Gemini, open-source Llama 3/4
• Orchestration: LangGraph, CrewAI
• Retrieval: Pinecone, ChromaDB, Elasticsearch
• Backend / Integration: FastAPI, Node.js, Python Asyncio
• Testing & Sandbox: Docker, ephemeral containers, automated test pipelines
💪 Why Clients Hire Me
• I deliver end-to-end autonomous AI solutions, from planning to deployment
• Proven experience in RAG-powered and multi-agent systems for real workflows
• Strong focus on robust, reliable, and scalable agent architectures
• Clear communication and structured approach to complex AI problems
Available for short-term gigs, long-term collaborations, and consulting on agentic AI systems. Let’s discuss how I can design autonomous agents to handle tasks, workflows, or complex decision processes for your business.
Steps for completing your project
After purchasing the project, send requirements so Mohnish can start the project.
Delivery time starts when Mohnish receives requirements from you.
Mohnish works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Scope Definition