You will get an AI Model with Explainable Output (SHAP, Grad-CAM, LIME)
Project details
I will deliver a fully explainable AI solution using SHAP, LIME, or Grad-CAM to help you understand how your ML models make decisions. With deep expertise in Python, XAI, and clinical/structured data, I ensure your models are both transparent and trusted.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software MaintenanceAI Tools
Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$800
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 17 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | |||
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $600
Additional Revision
+$200
Streamlit Web App Deployment
(+ 2 Days)
+$75Frequently asked questions
About Anna
ML Engineer | RAG, AI Chatbots & LLM Agents | Explainable AI | PhD
Arta, Greece - 12:30 pm local time
and data into working, deployed products. PhD in AI, 7+ years of Python engineering, and 15 peer
reviewed publications in medical AI. All of my code is public and tested, and I link the repositories
in my Portfolio below, so you can see exactly how I work before we even talk.
WHAT I DELIVER
✅ Custom RAG chatbots over your PDFs and knowledge bases, with citations you can verify (LangChain, Chroma, Streamlit)
✅ LLM agents and multi agent workflows that research, extract data, and automate tasks (LangGraph)
✅ LLM agents that answer plain English questions from your database (text to SQL)
✅ MLOps: your model deployed as a monitored API with Docker, CI/CD, and drift alerts (MLflow, FastAPI, Evidently)
✅ Predictive modeling, classification, and deep learning (TensorFlow, Keras, PyTorch, scikit-learn)
✅ Time series forecasting for demand, sales, and inventory, with honest backtesting
✅ Image classification and object detection (CNNs, transfer learning, YOLO)
✅ Explainable AI so you can trust and audit every prediction (SHAP, LIME, Grad-CAM)
RECENT WORK
🔹 Multi agent research assistant that turns a question into a cited, reviewed report (LangGraph, RAG, Streamlit); open source, in my Portfolio
🔹 End to end MLOps pipeline covering MLflow, FastAPI, Docker, CI/CD, and drift monitoring; open source, in my Portfolio
🔹 Demand forecasting system with rolling origin backtesting (statsmodels, scikit-learn); open source, in my Portfolio
🔹 RAG chatbot for medical guidelines with page level citations (LangChain, Chroma, Streamlit)
🔹 Medical decision support system for cancer diagnostics used in clinical research (Python, SQL, CNNs, SHAP)
🔹 Text to SQL agent that lets non technical users query a clinical database in plain English
WHY CLIENTS PICK ME
✔ Research grade rigor, production grade delivery. I have shipped models for clinical decision support, where mistakes are not an option.
✔ My code is public and tested. You can review the repositories in my Portfolio before you hire.
✔ I explain my work in plain language. You will always know what the model does and why.
✔ Clear milestones, fast communication, strong documentation. Happy to sign an NDA.
If you need an AI chatbot for your documents, an ML model built and deployed, or forecasting on your
data, send me a message. I respond within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Anna can start the project.
Delivery time starts when Anna receives requirements from you.
Anna works on your project following the steps below.
Revisions may occur after the delivery date.
Client provides dataset and goal
I’ll review your dataset and understand your model or classification objective.
Model training or integration (if needed)
If you don’t have a model, I’ll train one; otherwise, I’ll integrate the one you have.