Ismat Samadov
Building scalable AI systems and production-ready ML pipelines with expertise in computer vision, natural language processing, and end-to-end model deployment across banking and healthcare sectors.
Currently developing enterprise ML solutions at Kapital Bank while creating open-source AI frameworks and contributing to low-resource language processing for Azerbaijani NLP.
Professional Experience
SQL Developer & ML Engineer
Kapital Bank
- Developing machine learning systems for fraud detection and risk assessment using SQL-based feature engineering and model deployment
- Building automated ML pipelines for transaction monitoring and anomaly detection with real-time inference capabilities
- Implementing data extraction and transformation processes for financial ML models and predictive analytics
- Creating production-ready stored procedures and database optimization for high-throughput ML feature serving
- Collaborating with data science teams to deploy enterprise ML solutions meeting Basel III and IFRS 9 compliance requirements
Business Analytics & Data Science
Unibank
- Developed predictive models and machine learning solutions for customer behavior analysis and business intelligence
- Built automated reporting systems and ML-powered dashboards for tracking key performance indicators and customer metrics
- Implemented advanced analytics using SQL and statistical methods to identify patterns in large-scale financial datasets
- Created data preprocessing pipelines and feature engineering frameworks for business intelligence and predictive modeling
- Designed A/B testing frameworks and statistical analysis methods to measure business impact of ML-driven initiatives
Risk Analyst & Data Specialist
Unibank
- Applied statistical methods and early ML techniques for credit risk assessment and loan portfolio optimization
- Developed data analysis frameworks for evaluating applicant profiles using feature engineering and risk scoring models
- Built automated reporting systems for loan performance tracking and risk metric calculation
- Implemented data quality checks and validation procedures for ML model inputs and credit decision systems
- Collaborated with fraud prevention teams on data analysis and pattern recognition for application verification
Independent ML Engineering Projects
Actively developing production-ready machine learning systems and contributing to open-source AI projects:
- Healthcare AI Systems: Built chest cancer detection and medical imaging analysis platforms
- Computer Vision: Developed tree disease detection using YOLOv8 with 93.3% mAP50 accuracy
- NLP Engineering: Created Azerbaijani language processing tools and custom NER systems
- Financial ML: Implemented probability of default models and customer lifetime value prediction engines
- MLOps Frameworks: Built intelligent agent systems and automated ML pipeline architectures
ML Engineering Expertise
ML Frameworks
Computer Vision
NLP & AI
MLOps & Infrastructure
Data Engineering
Financial ML
ML Engineering Portfolio
Production-ready machine learning systems spanning computer vision, NLP, financial modeling, and AI infrastructure. Built with modern MLOps practices and deployed at scale.
Tree Disease Detection System
YOLOv8-based real-time agricultural disease detection achieving 93.3% mAP50 on UAV imagery. Includes optimized inference pipeline, REST API deployment, and automated model retraining with performance monitoring.
Azerbaijani NER Engine
Custom Named Entity Recognition system for low-resource Azerbaijani language. Built with FastAPI microservices, containerized deployment, and real-time inference with custom tokenization and model fine-tuning.
Intelligent Agent Framework
Production-ready framework for intelligent agents with containerized deployment. Implements multiple agent types (Simple Reflex, Model-Based, Utility-Based, Q-Learning) with interactive visualization.
Interested in ML Collaboration?
I'm passionate about building production ML systems that solve real-world problems. Let's discuss how we can leverage AI to drive innovation in your organization.
Education & ML Expertise
Formal Education
Azerbaijan State University of Economics
Master of Business Administration (MBA) • Artificial Intelligence
Current • Baku, Azerbaijan
Advanced studies in AI applications for business, machine learning systems design, and enterprise AI strategy.
Mingachevir State University
Bachelor • Management of Industry
2012 - 2016 • Mingachevir, Azerbaijan
Foundation in business management with focus on process optimization and analytical thinking.
Professional Certifications
Oracle Database SQL Certified Associate
Oracle
ID: 290631207OCASQL12C
Issued: May 2022
Advanced SQL optimization and database design for ML feature engineering and data pipelines.
Additional Certifications
45 certificates across 5 platforms
Machine Learning Research & Development
Machine Learning Engineering
Self-Directed & Open Source
Focus: Production ML Systems
Key Achievements:
- •Built 15+ production-ready ML systems
- •Contributed to Azerbaijani NLP research
- •Developed computer vision models with 93%+ accuracy
- •Implemented enterprise-grade MLOps pipelines
Deep Learning Specialization
Research & Implementation
Focus: Neural Networks & AI
Key Achievements:
- •Custom transformer architecture for Azerbaijani language
- •Medical imaging AI with DICOM processing
- •Multi-agent reinforcement learning systems
- •Real-time inference optimization
Core ML Engineering Competencies
Let's Build Something Amazing
Interested in ML Collaboration?
I'm passionate about leveraging machine learning to solve complex real-world problems. Whether you're looking to implement production ML systems, develop AI solutions, or discuss opportunities in computer vision, NLP, or MLOps, I'd love to connect.
What I Can Help With:
- • Production ML system design and deployment
- • Computer vision and medical imaging AI
- • NLP and language model development
- • Financial ML and regulatory compliance
- • MLOps infrastructure and automation
- • Custom AI solutions for your domain