You will get custom multi-agent AI system that automates complex business workflows
Project details
I build agentic AI systems for teams who need a working agent in weeks, not quarters. Solo engineer, 10+ years across AI, full-stack, and infrastructure. Building agents since GPT-3.
Three tiers, fixed scope, fixed price:
Starter (7 days). A single agent built for one specific workflow. Proof of concept on real data, deployed to your cloud.
Standard (14 days). Multi-agent system with tool use, memory, and an eval suite. Ready for internal users.
Advanced (30 days). Full agentic platform with custom MCP servers and integrations. Production-ready, observability included.
Every engagement ships:
+ Production-ready repo with tests
+ Deployed system on your cloud, not mine
+ Eval suite and benchmark report
+ Architecture and ops docs
+ One-hour async handoff call
+ 14-day warranty for bug fixes
What I will not do: vague AI strategy decks, unsupervised junior staff, or "we'll figure out scope later." Every project starts with a 30-minute scoping call where we sketch the agent on a shared canvas. You leave with a one-pager scope and a price before you commit.
If you're not sure which tier fits, book the call. I'll tell you straight.
Three tiers, fixed scope, fixed price:
Starter (7 days). A single agent built for one specific workflow. Proof of concept on real data, deployed to your cloud.
Standard (14 days). Multi-agent system with tool use, memory, and an eval suite. Ready for internal users.
Advanced (30 days). Full agentic platform with custom MCP servers and integrations. Production-ready, observability included.
Every engagement ships:
+ Production-ready repo with tests
+ Deployed system on your cloud, not mine
+ Eval suite and benchmark report
+ Architecture and ops docs
+ One-hour async handoff call
+ 14-day warranty for bug fixes
What I will not do: vague AI strategy decks, unsupervised junior staff, or "we'll figure out scope later." Every project starts with a 30-minute scoping call where we sketch the agent on a shared canvas. You leave with a one-pager scope and a price before you commit.
If you're not sure which tier fits, book the call. I'll tell you straight.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Code, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$750
|
Standard
$2,500
|
Advanced
$6,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 7 | 14 | 30 |
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.
Fast Delivery
+$250 - $2,500
Additional Revision
+$100Frequently asked questions
About Ragavendra
AI Engineer | LLM & Multi-Agent Systems | GCP & LangChain
Chennai, India - 4:36 am local time
What sets me apart is the rare combination of deep backend engineering (9 years across Amazon, Groupon, and high-growth startups) and hands-on AI product building. I'm not just integrating APIs — I designed and shipped InterviewLM, an AI-native hiring platform, and Juliet, an agentic coding assistant. I understand how AI systems fail in production and how to build them so they don't.
I specialize in:
🤖 Multi-agent orchestration with LangChain and LangGraph
☁️ GCP-native AI infrastructure (Vertex AI, Cloud Run, BigQuery)
🔍 RAG pipelines, vector search, and semantic retrieval
⚙️ Backend systems in Python, TypeScript, and Go that scale under real load
🔒 Fraud detection, data pipelines, and performance-critical APIs
Here's what I can build for you:
🧠 Custom multi-agent AI systems that automate complex, multi-step business processes
📄 RAG-based document intelligence tools (contracts, support, knowledge bases)
🏗️ AI backend architecture — from prototype to production on GCP or AWS
🔗 LLM integrations with your existing stack (REST APIs, databases, internal tools)
📊 Data pipelines and analytics infrastructure using Spark, Redshift, or BigQuery
Whether you need a proof-of-concept in days or a production system built to last, I scope clearly and deliver without surprises.
✅ Founder of InterviewLM — AI-native technical hiring platform used to evaluate engineers at scale
✅ Built agentic coding assistant Juliet, enabling developers to ship faster with AI-driven workflows
✅ Former SDE at Amazon and Groupon — shipped backend systems handling millions of transactions
✅ Led fraud prevention infrastructure at Pillow, reducing fraudulent activity across the platform
✅ 9 years of backend and distributed systems experience across fintech, logistics, and SaaS
If you're building something with AI and need an engineer who has done it in production — not just in demos — send me a message. I typically respond within a few hours and happy to jump on a quick call to scope your project.
Steps for completing your project
After purchasing the project, send requirements so Ragavendra can start the project.
Delivery time starts when Ragavendra receives requirements from you.
Ragavendra works on your project following the steps below.
Revisions may occur after the delivery date.
30-minute scoping call
We sketch your agent on a shared canvas. You leave with a written one-pager: the workflow, the architecture, the eval criteria, and a fixed price. No commitment to buy.
Build sprint with daily check-ins
I work in your timezone hours, push to a shared repo daily, and post a 2-minute Loom each evening showing what's working. You can interrupt, redirect, or pause at any point.