
Ernest Bieś
IT specialist // Programmer
I am a Computer Science graduate of the State Higher Vocational School in Tarnów, where I was awarded the Medal for "Outstanding Graduates of the State Higher School of Higher Education in Tarnów" by the University Senate. From an early age, I have been interested in Information Technology and took part in numerous IT competitions during my education. Today, I focus mainly on building web and mobile applications, while continuously developing my skills in AI-driven development and broadening my engineering knowledge.
Contact// Projects
Main projects
A full list of my main projects can be found on my GitHub. The projects presented here were created during my education and early professional development, before AI-assisted development tools became widely available. They reflect my foundational engineering skills, learning path, and independent problem-solving at that stage.
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completed projects in public repositories
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projects in private repositories
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learned programming languages and technologies
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years of programming

Something more than passion
During programming, I pay a lot of attention to the quality of the source code that I create. I try to follow the rules of clean code and follow them wherever possible.
DRY.
KISS.
YAGNI.
// Projects
Research
I develop research-oriented and educational projects that combine software engineering, technical analysis and practical problem-solving.
iOS Device Data Extractor
iOS Device Data Extractor is an Autopsy module that creates an encrypted or non-encrypted iOS backup of iPhone and iPad, currently running iOS 10.2 and above. It extracts files from an encrypted or unencrypted iOS backup, including a backup made with iTunes, and can compress them into a ZIP archive for use with the iLEAPP module, for example.
Camera Fingerprint PRNU
Camera Fingerprint PRNU uses photo response non-uniformity of camera sensor (PRNU) to check if a photo was truly taken by a suspected camera or not. Module is not based on metadata such as EXIF, performs a physical analysis of the camera sensor, determines photo response non-uniformity (PRNU), uses the principle that each sensor pixel behaves differently with effects such as non-uniform photo response, making each sensor is unique, identifies each pixel anomaly and uses this information to create a description of the camera sensor - the camera fingerprint.
// Skills
Knowledge
I focus on building reliable digital products across web, mobile, backend, deployment and AI-assisted engineering workflows.
Frontend
I build modern, responsive web interfaces using technologies such as React and Next.js to deliver clear, performant, and maintainable applications.
Mobile
I design and develop mobile applications with React Native, focusing on a consistent user experience, reliable behavior, and production-ready delivery.
Backend
I build application backends, APIs, and business logic using tools such as NestJS and proven practices for designing clear server-side services.
Databases
I design and work with relational and non-relational databases, including PostgreSQL and MongoDB, aligning the data model with real application needs.
Testing & Deployment
I care about quality through testing, verification, and deployment processes, including preparing mobile applications for release on Google Play and the App Store.
AI
I use AI-driven development as practical engineering support with tools such as Codex and OpenCode, while keeping control over architecture, quality, and technical decisions.
// Hobby
Interests
Find out what interests me and how I spend my free time.
// Contact
Collaboration
Feel free to contact me. For any business inquiries please contact me via e-mail.
@ let's work together. and create stunning things with me


# build something worth remembering. from a clear idea to a polished digital product