I'm a Software Quality Engineer with hands-on experience building enterprise-grade automation frameworks, improving test coverage, and integrating CI/CD pipelines. I'm currently making a deliberate transition into AI and Machine Learning, combining my engineering rigor with a growing foundation in data-driven systems.
My background gives me a unique perspective: I bring the discipline of quality engineering — precision, repeatability, and observability — to AI development. I care deeply about building systems that not only work, but work reliably.
- Building end-to-end machine learning projects in Python
- Studying ML fundamentals: supervised learning, model evaluation, feature engineering
- Exploring how to apply testing and validation practices to AI/ML pipelines
- Documenting my learning journey through GitHub projects and experiments
| Area | Tools & Technologies |
|---|---|
| Test Automation | Cypress, Robot Framework |
| CI/CD | Jenkins, Git |
| API Testing | Postman |
| Data Validation | SQL |
| Infrastructure | Linux, distributed systems |
Languages
Testing & Automation
Tools & Infrastructure
Currently Learning
This profile tracks my transition into AI engineering. Here you'll find:
- ML Projects — Hands-on implementations of machine learning algorithms and pipelines
- AI Experiments — Explorations of model behavior, evaluation, and fine-tuning
- Data Analysis — Notebooks and scripts for real-world datasets
- Automation for ML — Applying my QA background to ML workflow testing and validation