You will get an AI-powered ATS for resume screening and hiring
Project details
Transform your recruitment process with an AI-powered Applicant Tracking System (ATS) that automatically parses resumes, analyzes job descriptions, and ranks candidates based on their relevance to open positions.
I will develop a custom AI recruitment solution using Machine Learning, NLP, semantic search, and intelligent candidate matching to help recruiters and hiring teams reduce manual screening time and improve hiring decisions.
The solution can include resume parsing, job matching, candidate ranking, skill extraction, recruiter dashboards, bulk CV processing, and deployment support based on your requirements.
What you get:
• AI-powered resume screening and candidate ranking
• Resume and job description parsing
• Semantic search and skill matching
• Clean, maintainable source code
• Documentation and deployment guidance
• Scalable architecture for future growth
Whether you need a simple screening tool or a complete AI recruitment platform, I will deliver a reliable solution tailored to your hiring workflow.
I will develop a custom AI recruitment solution using Machine Learning, NLP, semantic search, and intelligent candidate matching to help recruiters and hiring teams reduce manual screening time and improve hiring decisions.
The solution can include resume parsing, job matching, candidate ranking, skill extraction, recruiter dashboards, bulk CV processing, and deployment support based on your requirements.
What you get:
• AI-powered resume screening and candidate ranking
• Resume and job description parsing
• Semantic search and skill matching
• Clean, maintainable source code
• Documentation and deployment guidance
• Scalable architecture for future growth
Whether you need a simple screening tool or a complete AI recruitment platform, I will deliver a reliable solution tailored to your hiring workflow.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, GitHub Copilot, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Scrapy, SQL, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$200
|
Standard
$499
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 20 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Resume Parsing Source
(+ 5 Days)
+$100
Custom AI Scoring Logic
(+ 5 Days)
+$150
Deployment Setup
(+ 3 Days)
+$250
12 reviews
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EM
Eslam M.
Jun 29, 2026
CV Matching Platform: Build + AI + 1mo Support
The quality of work was very poor, and the delivery was significantly delayed.
SF
Syed Muhammad Ali F.
Apr 27, 2026
Enhance prediction data
It was good to work with Youssef however, some logical issues in complexity of data and other metrics even after explaining several times he could not make it as expected but he is responsible in addressing queries, fully responsive and tried best to resolve the issues.
AA
Adomas A.
Apr 19, 2026
Multi-Source Web Scraping, Content Filtering, and Automated Reporting Pipeline
Very professional freelancer, amazing to work with
Ak
Awais k.
Jan 17, 2026
Upgrade OCR & Formatting for PDF Translator
Great work by him
AS
Asneha S.
Jan 9, 2026
LLM-Based Resume Editing Tool Developer
About Youssef
ML & Computer Vision Engineer | OCR & Document AI, Deployments
86%
Job Success
Cairo, Egypt - 7:04 am local time
What I deliver: prototype → model → API → deployment. Typical outcomes: decrease manual labeling/processing by 60–90%, improve model accuracy from baseline to production standards, and ship an API for seamless integration.
Tools & process: Data pipeline + augmentation → model selection & training (transfer learning / UNet / nnUNet / transformers) → experiment tracking (MLflow) → RESTful serving (FastAPI / Docker) → monitoring.
Recent wins: Built an Image Caption Generator deployed via FastAPI; improved an existing CNN’s accuracy (client case) and contributed to a nnUNet medical imaging pipeline. (Check portfolio for short case studies.)
Availability: 30+ hrs/week, open to contract-to-hire. Message me with 1) a short project description, 2) sample data, 3) desired deliverable (prototype, deployable API, or evaluation report) — I’ll reply with next steps and an estimate.
Steps for completing your project
After purchasing the project, send requirements so Youssef can start the project.
Delivery time starts when Youssef receives requirements from you.
Youssef works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
Review your recruitment workflow, business goals, data sources, and feature requirements to define the project scope and implementation plan.
Solution Design
Design the AI-powered recruitment solution, including candidate matching logic, system architecture, integrations, and user workflow.