You will get Enterprise RAG MVP: AI Advisory Platform for Decision Support
Project details
I specialize in building enterprise-grade AI advisory platforms for high-complexity domains like private aviation. With 8+ years of experience in full-stack development and AI/ML integration, I deliver production-ready systems that handle sophisticated reasoning tasks, comparative analysis across multiple data sources, and complex PDF processing that standard RAG systems cannot manage. My work emphasizes architectural robustness, reliability for high-net-worth clients, and meticulous attention to data accuracy in business-critical applications.
AI Algorithms
Transformer ModelAI Applications
Conversational AIAI Models
GPT-4What's included
| Service Tiers |
Starter
$2,500
|
Standard
$8,500
|
Advanced
$12,500
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 28 days |
Number of Revisions | 2 | 3 | 4 |
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 | - | - | - |
About Michael
Marketing Science Engineer | Enterprise Attribution & Bayesian MMM
Fort Worth, United States - 4:10 am local time
Last quarter, a national advertiser's dashboard showed zero conversions from a $500k TV campaign. By replacing their last-touch model with a Kafka-native causal streaming engine, I proved that campaign actually drove $3.1M in incremental revenue.
I am a Marketing Science Engineer and the author of the 10-paper Forsythe Attribution Framework (Zenodo/ORCID verified). I build production-grade measurement infrastructure for enterprise brands ($1M+/mo media spend) who require data they can mathematically defend.
WHAT I BUILD:
1. Production-Grade Media Mix Modeling (MMM)
Custom Bayesian hierarchical models built to withstand the death of third-party cookies. Axiomatic budget optimization, Adstock decay, and Hill saturation calibration.
2. Real-Time Data Engineering (The Artemis Engine)
Most teams pay a $470k/year "hidden tax" manually reconciling CSVs. I architect Kafka-native streaming pipelines that normalize 15+ ad platforms into a canonical Delta Lake schema with <100ms latency.
3. Causal Attribution & Identity Resolution
Moving beyond "Correlation Theater." I implement Markov-Shapley hybrid models and Probabilistic Identity Graphs (GDPR/CCPA compliant via GMM clustering) to measure true marginal contribution.
4. Fractional Technical Advisory & Audits
I audit existing Meta/Google/GA4 setups for "Leakage" and redundant reach, implementing the MMM-Incrementality Bridge to validate your reporting against ground-truth geo-tests.
TECH STACK: Python, PyMC, DoWhy, Apache Kafka, Delta Lake, React/Next.js (Dashboards), PostgreSQL.
I charge for epistemic rigor and measurable ROI, not just code. If your organization is ready to stop guessing at its iROAS, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Architecture Design
Review all project documentation and specifications. Conduct technical assessment of requirements. Design system architecture, database schema, and AI/ML integration approach. Create detailed technical specifications and implementation roadmap.
Core Platform Development & Integration
Build backend infrastructure and APIs. Implement advanced RAG with query decomposition. Integrate AI/ML components. Develop frontend UI and chatbot.