You will get Custom AI Agent or RAG System Built for Your Business Use Case
Project details
You'll get a production-grade AI agent or RAG system custom-built for your specific business use case — not a generic chatbot wrapper that hallucates and breaks under real usage.
With 10+ years building systems at Uber and Adobe that serve millions of users, I bring the same engineering rigor to every AI project. Whether you need an AI assistant that answers from your company docs, an agent that automates multi-step workflows, or an LLM-powered feature inside your existing product — I've built it before and shipped it to production.
What you get:
• AI agents with tool use, memory, and multi-step reasoning (LangGraph, CrewAI)
• RAG pipelines with vector search for accurate, grounded responses
• Integration with GPT-4, Claude, or open-source models
• Production deployment on your infrastructure (AWS, GCP, or Vercel)
UC Berkeley EECS grad. I communicate like a tech lead — proactive updates, clear timelines, no surprises. Fast delivery: working prototypes in days, production-ready systems in weeks.
With 10+ years building systems at Uber and Adobe that serve millions of users, I bring the same engineering rigor to every AI project. Whether you need an AI assistant that answers from your company docs, an agent that automates multi-step workflows, or an LLM-powered feature inside your existing product — I've built it before and shipped it to production.
What you get:
• AI agents with tool use, memory, and multi-step reasoning (LangGraph, CrewAI)
• RAG pipelines with vector search for accurate, grounded responses
• Integration with GPT-4, Claude, or open-source models
• Production deployment on your infrastructure (AWS, GCP, or Vercel)
UC Berkeley EECS grad. I communicate like a tech lead — proactive updates, clear timelines, no surprises. Fast delivery: working prototypes in days, production-ready systems in weeks.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, Anomaly Detection, Conversational AI, Image Processing, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$1,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 1 day | 7 days | 21 days |
Number of Revisions | 0 | 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 | - |
Frequently asked questions
About Kevin Insuk
AI/LLM Engineer | Agentic Systems & RAG | Ex-Uber | UC Berkeley
Chino Hills, United States - 11:18 am local time
With 10+ years at Uber and Adobe building systems that handle millions of daily events, I now help startups and enterprises ship AI-powered products — fast, reliable, and built to scale.
🤖 𝗧𝗧𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗔𝗽𝗽𝘀 — Custom AI agents, RAG pipelines, and agentic systems using GPT-4, Claude, LangChain, and LangGraph. From prototype to production.
⚡ 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 — End-to-end development connecting LLM backends to React/Next.js frontends with real-time streaming, tool use, and memory.
🏗️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗔𝗣𝗜𝘀 — Microservices, event-driven systems (Kafka, Cadence), and scalable API design. I re-architected Uber’s Loyalty platform serving millions of users.
🔄 𝗔𝗜 𝗠𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗮𝗮𝘁𝗶𝗼𝗻 — Intelligent pipelines that replace manual processes — from automated client communication to document processing to smart scheduling.
🚀 𝗠𝗩𝗣-𝘁𝗼-𝗦𝗰𝗮𝗹𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — I’ve built AI-powered SaaS products from zero, including a client communication platform with RAG-based knowledge retrieval and human-in-the-loop feedback.
✅ UC Berkeley EECS + 10 years at Uber & Adobe — I’ve built and shipped at scale.
✅ I communicate like a tech lead, not a contractor — proactive updates, clear timelines, no surprises.
✅ I’ll tell you if your approach won’t work and suggest what will — saving you time and money.
✅ Fast delivery: working prototypes in days, production-ready code in weeks.
💬 Let’s talk about your project. I respond within hours and love solving hard problems.
Steps for completing your project
After purchasing the project, send requirements so Kevin Insuk can start the project.
Delivery time starts when Kevin Insuk receives requirements from you.
Kevin Insuk works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scoping
We discuss your use case, data sources, success criteria, and I ask the right questions to avoid scope creep. You'll get a clear project brief.
Architecture & Design
I deliver a technical plan with stack choices, milestones, and timeline. You'll see exactly what's being built before any code is written.