About
Software engineer, applied mathematician, researcher
A blend of software engineering, applied mathematics, and scientific research — focused on turning real problems into dependable technical solutions.
Professional summary
My work sits at the intersection of three areas: software engineering, computation and applied mathematics, and scientific research. This combination lets me follow a technical problem end-to-end, from initial formulation to implementation and delivery.
In software, I focus on full-stack development, backend design, APIs, data modeling, and maintainable system architecture. In computation, from mathematical modeling and optimization to metaheuristics and scientific computing. In research, from methodology design through data analysis and publication.
Experience
A general view of the professional path.
Software Engineer
Industrial projects and software products
Full-stack development, backend design, APIs, data modeling, and system architecture focused on maintainability and growth.
Researcher and Scientific Consultant
Academic and industrial projects
Research design, mathematical modeling, data analysis, and presenting results as reports and papers.
Instructor
Specialized, project-driven training
Teaching programming, algorithms, scientific computing, and machine learning concepts with a project-driven format.
Interdisciplinary identity
Why the combination of software and mathematics matters in this work.
- Software
- The tool for building real, usable solutions.
- Applied mathematics and computation
- A formal language for modeling and rigorous analysis.
- AI and machine learning
- A capability that turns data into decisions and predictions.
- Research
- A methodology for validating and publishing results.
Mathematics background
MSc in Mathematics. Focus on mathematical modeling, optimization, numerical methods, scientific computing, and metaheuristics such as genetic algorithms and differential evolution.
BSc in Agricultural Mechanization, which shaped early experience with real, data-driven systems.
Research and publications
Research activity in computational and applied mathematics.
Research activity in computational modeling, optimization, and applications of machine learning to scientific and engineering problems. Results have been published in scientific venues.
For the full list of publications, the Google Scholar profile is the primary reference.
See the Google Scholar profile for the full list of publications.
Credibility signals
External sources that can be verified.
- Professional experience in software engineering and full-stack development
- MSc in Mathematics
- Scientific publications and presence on Google Scholar
- ISC indexing
- Industrial and academic projects
External profiles
Verifiable sources for further reading.
GitHub
peymanpro
Project code and sample work
ViewGoogle Scholar
Peyman Salimi
Scientific publications and citations
Coming soonLinkedIn
Peyman Salimi
Professional history
Coming soon
Ready to work together?
Describe the problem or project; we will talk about the right approach.