You will get custom Optimization solution for supply chain, scheduling, or planning
Project details
You will get a custom Optimization solution designed by a PhD physicist with 6+ years in ML/AI R&D. I specialize in combinatorial optimization, mathematical programming, and constraint-based modeling - translating complex business problems into working prototypes.
Whether you need a scheduling engine, a supply chain optimizer, or a cutting/allocation model - I deliver research-grade solutions with production intent.
PhD in Fusion Science (Ghent University) | OR-Tools | MILP | Python 11+ years | Supply chain, logistics, and production planning experience.
Whether you need a scheduling engine, a supply chain optimizer, or a cutting/allocation model - I deliver research-grade solutions with production intent.
PhD in Fusion Science (Ghent University) | OR-Tools | MILP | Python 11+ years | Supply chain, logistics, and production planning experience.
AI Development Type
Knowledge Representation, Model TuningAI Tools
MLflowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 30 days | 50 days | 70 days |
Number of Revisions | 4 | 6 | 8 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
About Milos
Machine & Reinforcement Learning, Godot Dev
Novi Sad, Serbia - 7:38 pm local time
value and passion are making outside-of-the-box DS/ML solutions.
Worked in the esports (CSGO, Dota2, LoL) industry, as a huge Dota
2 fan since 2005 (DotA back then ;). Deployed several recommender
solutions. Now optimizing meat production at Volur.
Steps for completing your project
After purchasing the project, send requirements so Milos can start the project.
Delivery time starts when Milos receives requirements from you.
Milos works on your project following the steps below.
Revisions may occur after the delivery date.
Definition
Client sends problem description, constraints, and KPIs.
Problem Design
Formulate the mathematical model (variables, constraints, objective function).