You will get an LLM-powered automation pipeline for your business workflow
Project details
I build production-ready LLM-powered automation pipelines that connect your business data, APIs, and workflows to large language models — so repetitive, document-heavy, or decision-based tasks run automatically.
With 6+ years in AI/GenAI and experience across LangChain, LlamaIndex, Azure OpenAI, AWS Bedrock, and FastAPI, I've built pipelines for document processing, email triage, data extraction, report generation, RAG-based search, and multi-step agentic workflows.
What you get:
• A modular Python pipeline tailored to your specific workflow
• LLM integration (OpenAI GPT-4, Azure OpenAI, or open-source models)
• API/database connectors (REST, SQL, cloud storage, CRM)
• Prompt engineering and output validation
• Clean source code with setup instructions
Whether you need a quick single-use automation or a full enterprise-grade pipeline with monitoring and deployment, I will deliver clean, well-documented code that works in your environment from day one.
With 6+ years in AI/GenAI and experience across LangChain, LlamaIndex, Azure OpenAI, AWS Bedrock, and FastAPI, I've built pipelines for document processing, email triage, data extraction, report generation, RAG-based search, and multi-step agentic workflows.
What you get:
• A modular Python pipeline tailored to your specific workflow
• LLM integration (OpenAI GPT-4, Azure OpenAI, or open-source models)
• API/database connectors (REST, SQL, cloud storage, CRM)
• Prompt engineering and output validation
• Clean source code with setup instructions
Whether you need a quick single-use automation or a full enterprise-grade pipeline with monitoring and deployment, I will deliver clean, well-documented code that works in your environment from day one.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AIOps, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$400
|
Standard
$900
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 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 |
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Professional
Instantaneous
Always available
Quick work feedback and Logical. This is why I would recommend him. I work a organization as well I understand what a professional should work like. Kudos!
Instantaneous
Always available
Quick work feedback and Logical. This is why I would recommend him. I work a organization as well I understand what a professional should work like. Kudos!
About Sunny
Senior GenAI Engineer | LangChain | LangGraph | RAG | Agentic AI
Chandigarh, India - 2:59 pm local time
6 years building production-grade AI for Fortune 500 clients including Nike, Ernst & Young, and 7-Eleven. I architect and deploy complete AI systems — from first conversation to enterprise-scale production.
🔧 WHAT I BUILD
✔ Multi-agent systems (LangChain, LangGraph, AutoGen, LlamaIndex) — autonomous workflows that reason, plan, and act
✔ RAG pipelines with Pinecone, Weaviate, ChromaDB — grounded, accurate AI over your private data
✔ LLM integration and fine-tuning — GPT-4o, Claude, Gemini adapted to your domain
✔ Cloud-native deployments on Azure AKS and AWS Bedrock — Docker, Kubernetes, FastAPI, CI/CD
✔ NLP solutions — document processing, SQL generation from natural language, automated data extraction
🚀 PROJECT RESULTS
◆ ThreatSense AI (Nike) — Real-time cybersecurity multi-agent platform on AWS Bedrock. 40% faster incident response.
◆ Vision Flow (EY) — AI image-to-data pipeline on Azure AKS. 95%+ accuracy on complex document types.
◆ AI Ledger Analyzer (7-Eleven) — Natural language to SQL via Azure OpenAI. Eliminated manual financial query writing.
◆ QueryLens (Casey's) — Plain English to BigQuery on GCP. Enabled non-technical teams to query live data independently.
⚙️ TECH STACK
LangChain · LangGraph · LlamaIndex · AutoGen · Python · FastAPI · Azure OpenAI · AWS Bedrock · GPT-4o · Claude · Gemini · Pinecone · Weaviate · CosmosDB · PostgreSQL · Docker · Kubernetes · Databricks · Apache Spark · Kafka · MLflow
🌟 WHY CHOOSE ME
✔ Enterprise delivery — production systems used by global brands, not just demos
✔ Full-stack AI ownership — architecture, development, deployment, and monitoring
✔ Clear communication — you always know what's being built, why, and when
📩 Building an AI agent, RAG system, or LLM-powered application? Send me your project details. I respond within 4 hours.
Steps for completing your project
After purchasing the project, send requirements so Sunny can start the project.
Delivery time starts when Sunny receives requirements from you.
Sunny works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Design
Review your requirements, map the workflow, select LLM provider, and design the pipeline architecture.