I am an AI Engineer and Applied AI Researcher working at the intersection of Artificial Intelligence and Software Engineering.
My work focuses on building intelligent, data-driven systems that improve decision-making, efficiency, and reliability in real-world software workflows.
This repository hosts my personal engineering portfolio focused on:
- AI-driven test prioritization
- Reliability-first automation systems
- Production incident postmortems
- Testing strategies for AI systems
🔗 Live Portfolio: https://dhruv0111.github.io/Dhruv-Sharma-portfolio/
- System design case studies
- Real-world incident analysis
- AI testing philosophy
- Recruiter-friendly summary
I design testing systems that reduce production risk and help teams ship faster with confidence.
- AI-assisted Software Engineering
- Intelligent Test Case Prioritization
- Learning-based Decision Systems
- Applied Machine Learning for Engineering Productivity
Explores learning-based prioritization and analysis of software testing workflows with emphasis on reproducibility and practical applicability.
Designing adaptive prioritization strategies for large and evolving test suites using machine learning models.
I aim to build research artifacts that are:
- Reproducible
- Extensible
- Industry-relevant
I am open to:
- Research Assistant (RA) opportunities
- Academic–industry research collaboration
- Applied research roles in AI and ML
LinkedIn: https://www.linkedin.com/in/dhruv-sharma-ai/
Email: dhruvsharmaaugust2003@gmail.com