Alireza Akhavanpour
AI Team Lead, Deep Learning Consultant & Instructor
Seasoned AI expert with 8+ years driving deep learning, LLM, and computer vision initiatives across finance, telecom, and healthcare. Leading instructor with highly-rated courses reaching 2,000+ students.
⭐ 4.9/5 rating with 2,000+ students enrolled
💡 Core Expertise
AI Leadership
Team management, AI roadmap development, stakeholder negotiation, strategic planning
Deep Learning & LLMs
Large Language Models, Transformers, Vision-Language Models (VLMs), Graph Neural Networks (GNNs)
Computer Vision
Face recognition, Anti-spoofing, Object detection, OCR, Image processing
NLP & Persian AI
Persian language processing, Cultural datasets, Text classification
💼 Professional Experience
- Directed 8-member AI squad on 10+ projects in fintech, healthcare & manufacturing
- Negotiated project scopes, budgets and deliverables with 50+ clients
- Achieved 95%+ client satisfaction rate across all engagements
- Sourced and onboarded AI talent from universities to scale delivery capacity
- Advised on AI integration into customer-analytics workflows
- Delivered roaming-prediction model with 90%+ accuracy, driving 25% higher campaign ROI
- Managed end-to-end project delivery with data engineering teams
- Improved software delivery efficiency via enhanced QC processes
- Developed and validated enterprise applications
🎓 Teaching & Education
⭐ 4.9/5 rating with 2,000+ students on Maktabkhooneh
- LLM Course: Generative AI with LLMs - 2,243 students, 4.9/5 rating
- VLM Course: Vision-Language Models - 1,868 students, 4.6/5 rating
- Deep Learning: Comprehensive Course - 8,661 students, 4.8/5 rating
- GNN Course: Graph Neural Networks
Also teaching at: Jahad Daneshgahi | Tehran Data
- Advanced Deep Learning, Computer Vision, Python Programming, C++
- Mentored 100+ students, many placed in leading AI roles
- Course materials: class.vision
🎓 Education
Thesis: Invariant Object Recognition at Cognitive Model Level
Advisor: Prof. Reza Ebrahimpour
GPA: 18.07/20
🏆 Key Achievements
- LLM Teaching Excellence: 4.9/5 rating, 2,000+ students across multiple platforms
- Attendance SDK: 10× model size reduction, 30% cost savings for embedded devices
- Anti-Spoofing System: GNN-based, 95% accuracy, 20% faster verification
- Roaming Prediction: 90%+ accuracy at MCI, 25% ROI improvement
- KYC System: 20% faster onboarding, 25% fraud reduction
- Early Alzheimer's Detection: ICA test with 90% sensitivity
- Publications: 10+ peer-reviewed papers, 60+ citations
- Journal Review: 9 reviews for Expert Systems with Applications (Elsevier)
📜 Certifications
- Deep Learning Specialization - deeplearning.ai (Coursera), Dec 2018
- Deep Learning with TensorFlow - IBM Cognitive Class, Apr 2017
- Machine Learning - Stanford University (Coursera), Nov 2016