I provide end-to-end Machine Learning (ML) and Artificial Intelligence (AI) solutions to help businesses, researchers, and startups turn data into intelligent insights and automated systems. With over 7 years of experience in teaching, research, and applied AI projects, I specialize in designing ML/AI models that are accurate, scalable, and interpretable.
Core Capabilities
🔹 Machine Learning Solutions
Predictive modeling (classification, regression, clustering)
Ensemble methods, tree-based models, and interpretable ML
Feature engineering, data preprocessing, and model optimization
🔹 Deep Learning & Neural Networks
Feedforward, CNNs, RNNs, LSTMs, GANs, and transformers
Applications in image analysis, natural language processing, and signal data
Large dataset handling and GPU-based training
🔹 AI for Business & Industry
Financial analytics (risk modeling, ESG scoring, fraud detection)
Healthcare AI (diagnostic support, medical image analysis)
Industrial applications (predictive maintenance, process optimization)
🔹 Data Visualization & Explainable AI
Dashboards, reports, and interactive visualization
Rule extraction and hypothesis generation from ML models
Explainable AI for decision support and compliance
🔹 Specialized Research & Consulting
AI-driven hypothesis generation for academic research
Guidance on publication-quality ML experiments
Consultation on project design, validation, and deployment
Why Work With Me:
✔ PhD in Computer Systems Engineering with specialization in AI/ML✔ Published research in top international journals (Information Sciences, Applied Soft Computing, etc.)✔ Experience in supervising projects, developing prototypes, and consulting for businesses✔ Strong focus on accuracy, interpretability, and real-world impact
What You Get
A clear understanding of the problem and best-fit AI/ML solution
Clean, well-documented, and reproducible code (Python/R/Matlab)
Transparent communication and timely delivery
Optional academic/research-style reporting if required