Applicant Analysis 2025 - AI/ML Positions

🎯 Project Overview

This repository contains the analysis of 48 job applicants for AI/ML positions with a particular focus on image processing and GAN expertise. The analysis was conducted on May 28, 2025, using automated PDF text extraction and candidate profiling.

🎧 Audio Reports Available

5 comprehensive audio reports have been generated covering:

1. Executive Summary - High-level overview and top recommendations
2. Technical Skills Analysis - Deep dive into AI/ML frameworks and programming skills
3. Cultural Fit & Personas - Career trajectories and team dynamics
4. Infrastructure & Methodology - Vector database screening system technical details
5. Strategic Recommendations - Final insights and hiring strategy

Audio files are available locally and can be shared upon request. Total duration: ~13 minutes.

📊 Analysis Summary

Candidate Pool Overview

• Total Applicants: 48 candidates
• Analyzed: First 10 candidates
• Geographic Distribution:
  • 🇸🇳 Senegal: 6 candidates (60%)
  • 🇫🇷 France: 4 candidates (40%)

Expertise Distribution

• AI/ML Research: 4 candidates (40%)
• Software Engineering: 3 candidates (30%)
• Data Science: 2 candidates (20%)
• Mathematical Sciences: 1 candidate (10%)

🏆 Top Candidates for Image Processing & GANs

1. 🥇 IBRAHIMA BA - TOP RECOMMENDATION

• Specialization: Intelligence Artificielle & Image & Text & Audio
• Role: Data Scientist (Image, Text, Audio & Video)
• Location: Courbevoie, France
• Contact: ibrahima.elmokhtar@gmail.com
• GitHub: https://github.com/Milkymap
• LinkedIn: ibrahima-ba-58007786
• Why Top Choice:
  • ✅ Direct image processing specialization
  • ✅ Multi-modal AI expertise
  • ✅ Active GitHub presence
  • ✅ Professional data scientist

2. 🥈 Docko SOW - STRONG SECOND

• Role: Machine Learning Research Engineer
• Location: Dakar, Senegal
• Contact: dockosow@gmail.com
• Research Focus: Computer Vision & NLP
• GitHub: dockoS
• LinkedIn: docko-sow-b6946b1a6
• Strengths:
  • ✅ Research background in computer vision
  • ✅ Deep learning expertise
  • ✅ Academic research experience

3. 🥉 Youssef Achouri - PROMISING TALENT

• Role: Student Engineer | Data Scientist
• Contact: Youssef.Achouri99@gmail.com
• Technical Skills:
  • ML/AI: TensorFlow, Keras, CNN, Deep Learning, NLP
  • Programming: Python, Java, C++, SQL
  • Tools: Power BI, Adobe, Figma, Git
• Strengths:
  • ✅ CNN expertise (crucial for GANs)
  • ✅ Modern ML stack experience
  • ✅ Young talent with growth potential

📋 Complete Candidate Profiles

Software Engineering Focus

Djim Momar Lo

• Role: ML/Deep Learning & Backend Developer
• Location: Sicap mbao, Senegal
• Skills: React Native, Machine Learning
• Education: DUT Génie électrique et informatique industrielle

Abdoul KANDE

• Role: Software Design Engineer
• Location: Keur Massar, Senegal
• Experience: Web/mobile development, IoT, data processing
• Strengths: Project management, client requirements analysis

Dembo Toure

• Role: Software Engineer, Web/Mobile Developer
• Location: Dakar, Senegal
• Experience: 5 years, technical lead at Gitech
• Skills: Multiple programming languages and frameworks

Ibrahima NIANG

• Role: Software Engineer
• Location: Dakar, Senegal
• Profile: Passionate about IT technologies
• Background: Strong academic foundation + professional experience

Research & Data Science Focus

Guillaume SIMON

• Role: Senior Data Scientist / ML Engineer
• Location: Vern-sur-Seiche, France
• Experience: Senior level (44 years old)
• Status: Experienced professional with family

Aïmérou Ndiaye

• Role: Research Scientist
• Current: Research Engineer at Baamtu (2023-Present)
• Location: Dakar, Senegal
• Specialization: Low-resource spoken dialogue systems

El Hadji Mama GUENE

• Role: Mathematical Sciences Researcher
• Location: Saint Jacques de la Lande, France
• Current Positions:
  • Plant Geophysics Researcher (Muséum National d'histoire naturelle)
  • Volcanology Researcher (Université de Rennes-OSUR)
• Projects: TASMOVA project (volcanic monitoring)

🔧 Technical Infrastructure

The applicant screening system uses:

• Vector Database: Qdrant with fast-all-minilm-l6-v2 embeddings
• Document Processing: PDF text extraction pipeline
• Storage: SQLite for vector storage
• Similarity Matching: Cosine distance (384 dimensions)
• Audio Generation: ElevenLabs TTS with multiple professional voices
• Automation: MCP Galaxy API for unified tool orchestration

📈 Recommendations

Immediate Actions

1. Contact IBRAHIMA BA - Review his GitHub projects for GAN/image processing work
2. Interview Docko SOW - Assess computer vision research experience
3. Technical Assessment - Create coding challenges focused on:
   • Image preprocessing pipelines
   • GAN architecture implementation
   • Computer vision model deployment

Next Steps

• Analyze remaining 38 candidates
• Create specialized technical interviews
• Develop practical GAN project assignments
• Set up collaborative coding sessions

🎯 Key Selection Criteria for GANs

• Essential:

  • Deep learning framework experience (TensorFlow/PyTorch)
  • Computer vision background
  • Image processing pipeline knowledge
  • CNN architecture understanding

• Preferred:

  • GAN implementation experience
  • Research publication history
  • Open source contributions
  • Multi-modal AI experience

📞 Contact Information

Analysis Date: May 28, 2025
Total Candidates: 48
Analysis Tool: MCP Galaxy API + Vector Search + ElevenLabs TTS
Repository: applicant-analysis-2025

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This analysis was generated using automated tools for PDF processing, candidate profiling, and audio report generation. All candidate information has been extracted from submitted applications.