You will get RAG Architecture Integration (Enterprise-Grade)
Top Rated
Project details
I build retrieval systems that answer strictly from your own data, with source citations, so you get grounded answers instead of confident guesses. Everything runs in your own cloud, whether that is Google Cloud, AWS, or a plain VPS, and you own the code outright, so there is no vendor lock-in and your data never leaves your control. These are production builds rather than demos, with a real ingestion pipeline, the access control and guardrails that regulated work needs, and testing against your actual questions before anything goes live. You can start with a single knowledge base and grow into a full agentic system that queries your databases and live APIs, and I hand over the code, documentation, and a walkthrough so your team can run and extend it without me.
AI Algorithms
Large Language Model, Long Short-Term Memory NetworkAI Applications
AI Chatbot, AI Mobile App Development, Conversational AI, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, PyTorch, TensorFlowAI Models
BERT, ChatGPT, LLaMAWhat's included
| Service Tiers |
Starter
$1,399
|
Standard
$3,899
|
Advanced
$6,899
|
|---|---|---|---|
| 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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JA
Justin A.
Jul 29, 2026
Long Term: Automations & AI Integrations (make.com, n8n.io)
Harry is a great choice! He was with us for a long time, starting in our n8n days & has sharpened his skills as we transitioned back to full agentic development.
Easy to work with, has great ideas, is proactive in his fixes, and careful in solutions! A great addition to any team or project.
Easy to work with, has great ideas, is proactive in his fixes, and careful in solutions! A great addition to any team or project.
TM
Ted M.
Jan 5, 2026
N8N Specialist Needed for Flow Building and Bug Resolution
Working with Harry has been incredible. He is extremely professional, very skilled and the communication was great. We work together very well and my team is just as happy as I am. We are starting the next project together with Harry immediately. 10/10
SG
Steve G.
Aug 28, 2025
AI Voice Agent Development using Vapi and Go High Level
SC
Sam C.
Apr 28, 2025
Make.com Workflow Development with ChatGPT Integration
Hire him. If you have any project that requires efficient workflow processing and need someone to not only build it, but help you engineer it, he is your guy. One in a million resource.
FK
Fabian K.
Apr 24, 2025
make.com expert to troubleshoot Shopify Order Transmission to Fulfillment Center
Great job, as usual. Thank you Harry!
About Harry
Top 1 Percent API Integration & Automation Consultant | ThinkBot
100%
Job Success
London, United Kingdom - 6:39 pm local time
🏆 ThinkBot · Top 1% on Upwork in Automation, API Integration, Business Process Automation and Scripts & Utilities · Top 5% Python · 500+ systems delivered · $3M+ client ROI · 100% Job Success · Top Rated Plus
I'm the production AI engineer on ThinkBot, a team led by Justin, by Upwork's own ranking data one of the top for Business Process Automation out of 11,000+. Those are the team's numbers, not my personal earnings, but every ThinkBot build crosses the same architect's desk.
My seat on the pod is the AI that has to survive contact with real users: retrieval pipelines, tool-calling agents, LLM-as-judge evaluation, observability, and the cost and latency work that keeps them affordable to run.
I help businesses replace the manual work their teams do by hand with software that runs while nobody is watching. Most clients come to me after something worked in a demo and fell over in production, closing that gap is most of my experience. No low-code platforms. No subscription traps. If your n8n, Make, or Zapier setup has outgrown itself, we convert it to plain code you own.
Most of this work lands in SaaS, legal, healthcare and ecommerce operations.
🔧 WHAT I BUILD
🤖 AI agents - planner, tools, memory, guardrails. The engineering around the model, not a prompt wrapper.
🔎 Retrieval and document intelligence - RAG pipelines, pgvector, semantic search over your own documents.
📊 Dashboards, portals and internal tools - data-heavy UIs built to your exact workflow.
🔗 Backend automation and API integrations - REST, webhooks, OAuth, scheduled jobs across the tools your operations already run on.
📈 RECENT THINKBOT PROJECTS
→ AI workers' comp claims pipeline - 30+ hrs per attorney per week reclaimed
→ RFP and scope proposal generator - saving $200k+/yr across 47 proposals
→ Document intelligence pipeline - PDF and PPT to embeddings to semantic search
→ Lead enrichment and AI qualification - $1M+ attributed pipeline
🛠️ Python · TypeScript · React/Next · FastAPI · Node · PostgreSQL · Redis · Claude · GPT · RAG/pgvector · LangGraph · HubSpot · Salesforce · GoHighLevel · Stripe · Playwright · Docker · AWS/GCP
💬 HOW I WORK
✅ Free scoping call - you talk to the engineer who builds it, not an account manager
✅ Architecture before code, and an honest cost up front
✅ You own the code - your repo, your infrastructure, no lock-in
✅ Documented, tested and supported after launch - ongoing retainers welcome
🎯 Message me the process you're sick of doing by hand. I'll tell you the architecture, the real cost, and whether you even need custom work.
Software that survives. AI that assists. Code that's yours.
Steps for completing your project
After purchasing the project, send requirements so Harry can start the project.
Delivery time starts when Harry receives requirements from you.
Harry works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and scope
We go over your data, your use case, and what a good answer looks like, then confirm the right package and success criteria before any build starts.
Architecture and plan
I put together the design, the stack, and how it will run in your cloud, then share it with you for sign-off so there are no surprises later.