You will get AI Daily Performance Analyst

Project details
Your media buying team shouldn't start the day staring at dashboards. They should open Slack and already know exactly what to fix, scale, or pause.
I'll build an automated AI analyst that pulls your Meta and Google Ads performance data every morning, runs it through a multi-layer analysis engine benchmarked against your historical baselines, and delivers a prioritized action digest to your Slack — before your team's first meeting.
I'm the CTO of a Google Certified Publishing Partner (GCPP since 2016) and have operated AdTech infrastructure tracking millions of monthly ad impressions across Google AdX, AdSense, Meta, MGID and 10+ ad networks for 7 years. This system is a subset of what I run in production every day.
I'll build an automated AI analyst that pulls your Meta and Google Ads performance data every morning, runs it through a multi-layer analysis engine benchmarked against your historical baselines, and delivers a prioritized action digest to your Slack — before your team's first meeting.
I'm the CTO of a Google Certified Publishing Partner (GCPP since 2016) and have operated AdTech infrastructure tracking millions of monthly ad impressions across Google AdX, AdSense, Meta, MGID and 10+ ad networks for 7 years. This system is a subset of what I run in production every day.
AI Algorithms
Large Language Model, Regression Analysis, Transformer ModelAI Applications
AIOps, Anomaly Detection, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Hugging Face, StreamlitAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 10 days | 18 days | 28 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.
Additional Revision
+$100
Additional ad account
(+ 3 Days)
+$150
Monthly maintenance & monitoring
+$300Frequently asked questions
About Khoa
Founder-Level AI Systems Architect | CRM, AdTech & Revenue Automation
Hanoi, Vietnam - 1:54 pm local time
This profile is different — every system listed below is running in production today.
With 20+ years in technology architecture and an MBA background, I specialize in AI-driven operational systems that replace manual workflows, increase revenue, and scale without constant human intervention.
What I've built and shipped:
- Multi-tenant AI chatbot platform — 3,800+ conversations handled across education, healthcare, and e-commerce
- AdTech revenue management system — $278K+ tracked across Google AdX, AdSense, Meta, MGID, and 10+ ad networks
- AI document pipeline — 65,000 government PDFs processed and normalized automatically
- Custom CRM systems — still operating daily inside a Google Certified Publishing Partner company
I combine business process thinking with backend architecture and AI integration — so the systems I build make sense operationally, not just technically.
Core stack: Python · Claude API · OpenAI · Meta Ads API · Google Ads API · BigQuery · Supabase · Slack integrations · LangChain · n8n · Retool
If you need infrastructure that runs your business rather than just impresses in a demo — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Khoa can start the project.
Delivery time starts when Khoa receives requirements from you.
Khoa works on your project following the steps below.
Revisions may occur after the delivery date.
Step 2
Discovery call — review your ad accounts, define fatigue thresholds, scaling rules, and Slack delivery format
Step 3
API integration — connect Meta Ads and/or Google Ads, set up data pipeline and storage (Supabase or BigQuery or MySQL)



