Skills & Technologies

AI & Machine Learning

Machine Learning & Deep Learning

• Supervised & Unsupervised Learning - Classification, regression, clustering
• Neural Networks - Deep learning fundamentals
• TensorFlow/Keras - Model development and training
• PyTorch - Deep learning framework

Computer Vision

• OpenCV - Image processing and analysis
• Object Detection - YOLO, R-CNN architectures
• Image Classification - CNN implementations
• Video Analytics - Real-time processing

Natural Language Processing

• Text Analysis - Sentiment analysis, classification
• Language Models - Transformer architectures
• NLP Libraries - NLTK, spaCy

AI in Testing

• AI-powered Test Generation - Intelligent test case creation
• Anomaly Detection - Identifying test failures
• Predictive Analytics - Test optimization
• ML Model Testing - Validation strategies

Performance Testing & Automation

Performance Testing

• Load Testing Tools - Gatling, JMeter, Locust
• Performance Profiling - Application performance analysis
• Stress & Endurance Testing - System reliability validation
• APM Tools - Application Performance Monitoring
• Performance Metrics - Response time, throughput, resource utilization

Test Automation Frameworks

• Selenium WebDriver - Web application testing
• Req&Roll / Cucumber - BDD framework implementation
• NUnit / xUnit - Unit testing frameworks
• Playwright - Modern web testing

CI/CD & DevOps

• Azure DevOps - Pipeline configuration and management
• GitHub Actions - Workflow automation
• Jenkins - Continuous integration
• Docker - Containerization for test environments

Testing Types

• API Testing (REST, GraphQL)
• Performance Testing (JMeter, k6)
• Security Testing basics
• Mobile Testing (Appium)

Programming & Development

Primary Languages

• C# / .NET Core - Expert level for automation and backend
• Python - Scripting, automation, data analysis
• JavaScript/TypeScript - Web automation and tooling

Databases

• SQL Server - Query optimization and database testing
• MongoDB - NoSQL database experience

Version Control

• Git & GitHub
• GitLab
• Branching strategies and code review

IoT & Electronics

Platforms & Microcontrollers

• Arduino - Prototyping and embedded projects
• Raspberry Pi - IoT gateway and edge computing
• ESP32/ESP8266 - WiFi-enabled microcontrollers
• STM32 - ARM Cortex-M development

Electronics Skills

• Circuit Design & Analysis
• PCB Design (KiCad, Eagle)
• Sensor Integration
• Power Management

Communication Protocols

• I2C, SPI, UART
• MQTT, HTTP/REST
• Bluetooth, WiFi
• Zigbee

AI & Emerging Technologies

Machine Learning

• Supervised Learning basics
• Computer Vision with OpenCV
• TensorFlow/Keras fundamentals
• ML model testing strategies

Security

• Cryptography basics
• Secure coding practices
• OWASP Top 10
• Penetration testing awareness

Soft Skills

Leadership & Communication

• Technical mentoring and training
• Workshop facilitation
• Cross-functional team collaboration
• Technical documentation

Methodologies

• Agile/Scrum
• Test-Driven Development (TDD)
• Behavior-Driven Development (BDD)
• Continuous Integration/Continuous Delivery

Certifications

🏆 ISTQB Certified Tester Foundation Level
International Software Testing Qualifications Board

🏆 Correlation One Certificate
Government Course - Data Analytics and Decision Making

Currently Learning

• Advanced Deep Learning architectures
• MLOps and ML model deployment
• Advanced Azure AI services
• Kubernetes for test orchestration
• Reinforcement Learning
• Advanced IoT security patterns

This page is regularly updated as I expand my skill set. Last updated: November 2025