You will get I'll build a multi-agent AI system to automate your workflow
Project details
If your team is doing repetitive manual work — copying data, running reports, processing documents, validating outputs — I can automate it with a multi-agent AI system.Recent results: Built multi-agent pipelines processing energy data across 15+ countries | 70% LLM token cost reduction | 60% runtime improvement via async batching | 99.5% uptime on financial data pipelines | 500+ documents processed per hour.What I build:
→ Multi-agent workflows using LangGraph for complex task routing
→ Data extraction agents for PDFs, websites, APIs and databases
→ Validation agents with Pydantic schema and hallucination mitigation
→ Retry logic and evaluation loops for production reliability
→ AWS deployment with Prometheus/CloudWatch monitoringI've automated financial report extraction, energy data collection across 15+ countries, and utility document processing — all running in production with real uptime guarantees.Fixed scope. Fast delivery. Production-ready code.
→ Multi-agent workflows using LangGraph for complex task routing
→ Data extraction agents for PDFs, websites, APIs and databases
→ Validation agents with Pydantic schema and hallucination mitigation
→ Retry logic and evaluation loops for production reliability
→ AWS deployment with Prometheus/CloudWatch monitoringI've automated financial report extraction, energy data collection across 15+ countries, and utility document processing — all running in production with real uptime guarantees.Fixed scope. Fast delivery. Production-ready code.
AI Algorithms
AlexNet, Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Synthetic Data GenerationAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Optional add-ons
You can add these on the next page.
Prometheus & CloudWatch monitoring setup
(+ 3 Days)
+$100Frequently asked questions
About Gangatharan
GenAI Engineer - RAG, LangGraph, Multi-Agent Systems, LLM Pipelines
Bengaluru, India - 5:04 am local time
Recent results: 95% extraction accuracy on 500+ scanned docs/hour | 70% LLM token cost reduction | 60% runtime improvement via async batching | 99.5% uptime on financial data pipelines.
What I build for clients:
→ RAG chatbots on your documents (PDFs, scanned files, reports)
→ Multi-agent pipelines using LangGraph for data extraction & validation
→ MLOps infrastructure (MLflow, CI/CD, Docker, Kubernetes on AWS)
→ OCR + LLM pipelines for scanned/unstructured documents
Stack: LangChain, LangGraph, Gemini, GPT-4o, AWS, Docker, Kubernetes, PyTorch, Pydantic.
Fixed-price projects available. Fast delivery. Production-ready code.
Steps for completing your project
After purchasing the project, send requirements so Gangatharan can start the project.
Delivery time starts when Gangatharan receives requirements from you.
Gangatharan works on your project following the steps below.
Revisions may occur after the delivery date.
Workflow Analysis
Understand your manual process, identify automation opportunities and design agent architecture.
Agent Development
Build LangGraph agents with tools, routing logic, retry mechanism and Pydantic validation.