Martin Trenkov

about_me

                    I'm a Computer Science student at the New Bulgarian University with a unique background that blends 
                    technical expertise with creative vision. My journey started in graphic design and photography at the 
                    National High School of Polygraphy and Photography, which gave me a strong foundation in visual 
                    communication and attention to detail. This creative background now enhances my approach to software 
                    development, allowing me to create solutions that are not only functional but also user-friendly and 
                    aesthetically pleasing.
                

experience

IBM

Jan 2025 - Present

Software Engineer

Currently working as a Software Engineer at IBM, leveraging my previous internship experience to contribute to enterprise-level software solutions. Building upon my expertise in IBM ESS, system administration, and automation to develop robust software applications and optimize existing systems.

IBM

Jul 2024 - Dec 2024

Server & Storage (ESS) Intern

Gained hands-on experience with IBM ESS, Spectrum Scale (GPFS), and Red Hat Enterprise Linux (RHEL). Developed skills in data management, ACLs, and automation through Bash scripting, while mastering tools like AFM for efficient data transfers. Worked with Salesforce Lightning, enhancing system integration and optimization. This role significantly strengthened my expertise in enterprise storage and system administration.

ScaleFlex

Jul 2023 - Oct 2023

Python Software Developer Intern

Worked on internal projects aimed to facilitate the work of the quality assurance team. Gained valuable knowledge in the field of image processing as well as extensive experience in Software as a Service (SaaS) architecture and development practices.

skills

Programming Languages

Java, Python, C++, Bash scripting form the core of my programming expertise. I focus on building robust and efficient applications, performing data analysis, and developing machine learning models.