I'm Salman Jahan Rafi, an Information and Communication Engineering graduate who enjoys working where software quality, applied AI, and data intersect. I build practical applications, automate repetitive testing workflows, and use data to solve real problems.
- Quality engineering: UI and API testing, test design, end-to-end automation, regression testing, and CI workflows.
- Applied AI: RAG, local LLMs, document intelligence, predictive modeling, and Python-based applications.
- Data and analytics: SQL, exploratory data analysis, reporting, and Power BI dashboards.
- Currently exploring: More reliable CI/CD pipelines, scalable test frameworks, and trustworthy AI applications.
My focus: build things that are useful, testable, and maintainable.
- Telecom Customer Churn Analysis — Customer behavior insights with Python, Pandas, Matplotlib, and Seaborn.
- Online Course Engagement Analysis — Exploratory analysis of learner activity and course completion.
- Amazon Sales Dashboard — Interactive business KPIs and sales trends with Power BI.
- HR Analytics Dashboard — Workforce insights and attrition analysis with Power BI.
- Cypress E2E Testing — Authentication test scenarios and web UI automation.
AI, machine learning, and backend
QA automation and continuous testing
Data, development, and collaboration
| Quality automation | Applied AI | Data-driven solutions |
|---|---|---|
| 42 API assertions documented in VerifyREST | RAG-backed document assistant in PeopleMind AI | SQL, EDA, and dashboards across analytics projects |
| API + E2E testing with reusable workflows | Retrieval, local inference, and evidence-based outputs | Business insights through visualization and analysis |
GitHub activity (dynamic, third-party widget)
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I'm always interested in thoughtful discussions about quality engineering, AI applications, and data-driven software.
- LinkedIn: linkedin.com/in/salmanrafi002
- Email: sajidbin7777@gmail.com
- GitHub: github.com/Rafi7078
Built around real projects, practical learning, and continuous improvement.



