You will get AI Document Analysis Agent — RAG-Powered Insight Extraction
Rising Talent
Project details
I'll build you a custom AI agent that reads your documents (PDFs, reports,
research, or text files) and automatically extracts key insights,
summaries, or structured data — no manual reading required.
Using a multi-agent architecture (LangGraph), FAISS-based semantic search,
and an LLM backend (OpenAI or OpenRouter), I build systems that:
• Parse and chunk your documents automatically
• Extract the specific insights or data points you need
• Return clean, structured output (JSON, summary, or dashboard)
• Include retry logic and validation so it runs reliably, not just once
You'll get working code, a simple interface to test it (Streamlit), and
documentation so you understand how it works.
See a live example of this approach: github.com/wilsonsm200/academia_AI
research, or text files) and automatically extracts key insights,
summaries, or structured data — no manual reading required.
Using a multi-agent architecture (LangGraph), FAISS-based semantic search,
and an LLM backend (OpenAI or OpenRouter), I build systems that:
• Parse and chunk your documents automatically
• Extract the specific insights or data points you need
• Return clean, structured output (JSON, summary, or dashboard)
• Include retry logic and validation so it runs reliably, not just once
You'll get working code, a simple interface to test it (Streamlit), and
documentation so you understand how it works.
See a live example of this approach: github.com/wilsonsm200/academia_AI
Machine Learning Tools
Azure Machine Learning, Deeplearning4j, fastText, Keras, MLflow, OpenCV, PyMC, Python, Python Scikit-Learn, PyTorch, R, RapidMiner, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, TextBlob, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 10 days |
Number of Revisions | 2 | 4 | 6 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 4 |
Number of Graphs/Charts | 3 | 8 | 12 |
Model Validation/Testing | - | - | - |
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Wilson
Data Analyst | Python, SQL & Power BI | Dashboards & Automation
Nairobi, Kenya - 6:13 pm local time
I am an Expert-Vetted Principal Architect who builds Agentic data foundations that don't just report data they reason over it. I turn multi-source chaos into a Single Source of Truth that drives confident, high-stakes decisions.Most AI and BI initiatives fail not because of bad models, but because of broken data foundations
Featured Build: AgentMaestro
Achieved 97% accuracy in Nairobi's volatile real estate market by replacing legacy "Black Box" ML with a "Two-Brain" Reasoning Architecture on Vertex AI.
What I Deliver
Cost & Latency Optimization
Re-engineer legacy warehouses using Dataform + modern ELT. Reduce cloud bills by 30%+ and achieve sub-2-second dashboard latency.
Data Integrity & Attribution
Unify fragmented silos: Shopify, Meta, CRM, GTM/CAPI. Build high-integrity Customer Data Platforms (CDP) with 100% visibility into ROI and attribution.
Reasoning-as-a-Service (RaaS)
Deploy LLM-driven reasoning engines on Vertex AI. Move beyond prediction into Agentic AI with "Glass Box" audit trails for compliance and trust.
The Maestro Difference
I am not a task-taker. I am a strategic partner who owns the entire data lifecycle—from ingestion to insight. I design proprietary logic that ensures your data is an asset, not a liability.
Certifications
-Google Cloud Professional Data Engineer
-Google Cloud Professional Machine Learning Engineer
-Google Data Analytics
-Microsoft Programming Certificate
Technical Stack
Cloud: GCP
Warehousing: BigQuery, BigLake, PostgreSQL, MySQL, SQL Server
Modeling: Dataform, dbt
ML & AI: Vertex AI, BigQuery ML, TensorFlow, H2O, Caret, Scikit-learn
BI & Viz: Looker, Looker Studio, Apache Superset, Google Sheets, Airtable
Languages: Python, SQL, R
ETL/ELT: Dataflow, Cloud Pub/Sub, Cloud Functions, Dataform
Ecommerce: Shopify
Data Science: Predictive Analytics, Segmentation, RFM, LTV, Forecasting, Recommender Systems
THE "CLEAR DATA" DIFFERENCE:
I don't just hand over a file. I walk you through what the data means for
your decision, in plain language, so you're not left interpreting a
dashboard on your own.
Steps for completing your project
After purchasing the project, send requirements so Wilson can start the project.
Delivery time starts when Wilson receives requirements from you.
Wilson works on your project following the steps below.
Revisions may occur after the delivery date.
Send all the files details