Alvi holds a scientific Master’s degree in Software Engineering and a Bachelor’s degree in Business Informatics. During his academic studies, he engaged in coursework and project-based learning that strengthened his analytical thinking, problem-solving abilities, and understanding of software engineering principles. His academic experience has focused on application development, system design, and data-driven solutions.

In parallel with his studies, Alvi has continuously developed his technical skills through professional training and applied learning programs, including advanced coursework in Java programming and a certificate program in Machine Learning. These experiences have enhanced his knowledge of object-oriented programming, algorithms, and emerging technologies, as well as his ability to apply theoretical concepts to real-world scenarios.

Alvi’s professional experience includes roles in technical and IT support environments, where he contributed to system maintenance, technical problem resolution, and process optimization. His work has involved collaborating within multidisciplinary teams, supporting technology-based operations, and ensuring the reliability and efficiency of digital systems.

Arbër Zylyftari is a Computer Science student with a strong focus on software development and machine learning, combining technical expertise with a growing commitment to leadership and collaboration. He is currently pursuing advanced training in Machine Learning and Full-Stack Web Development, where he actively takes initiative in group projects, coordinates tasks, and supports peers to ensure high-quality and timely results. His academic path has strengthened his ability to analyze complex problems, communicate technical ideas clearly, and work effectively in team-based environments.

Throughout his studies, Arbër has developed and led multiple academic and personal projects involving web applications, data processing, and automation. He has hands-on experience with programming languages such as Java, Python, JavaScript, and C, and regularly applies best practices in version control, project structuring, and documentation. His leadership experience includes guiding team members during collaborative development, contributing to decision-making processes, and maintaining a strong sense of accountability within project teams.

Arbër is motivated by continuous learning and professional growth, with a long-term goal of contributing to innovative, technology-driven initiatives. He aims to take on increasing responsibility in the fields of artificial intelligence and software engineering, while creating solutions that generate meaningful and sustainable impact.

Donald holds a Master’s degree in Electronic Engineering from the Polytechnic University of Tirana, where he developed a strong foundation in technical problem-solving and analytical thinking. He is currently expanding his expertise by attending the Machine Learning Program at Holberton Albania, with a focus on advancing his skills in cutting-edge technologies and artificial intelligence. Donald has built a distinguished career as a software engineer, beginning with an internship at a tech company in Tirana that ignited his passion for software development.

Over the years, he has steadily progressed through increasingly challenging roles, culminating in his current position in a senior role in the iGaming industry, where he works on innovative and high-performing solutions. His journey reflects a commitment to continuous growth and adaptability in a rapidly evolving field. With a unique blend of engineering expertise and hands-on software development experience, Donald aims to leverage his skills in machine learning to solve real-world problems and contribute to innovation-driven projects that make a difference.

Erdi Shpati is a fourth-year student at the “Gjergj Canco” Professional High School in Tirana, Albania, specializing in programming. He is currently attending the Machine Learning program at Holberton Albania (October–June), where he is developing practical skills in data analysis, model building, and applying machine learning methods to real-world problems.

During his studies, Erdi has participated in school-based software projects, including building a student dashboard using HTML, CSS, and JavaScript, strengthening his teamwork skills and ability to turn requirements into functional user-facing tools. He also earned a Java programming certificate through the Harry Fultz Institute, expanding his foundation in core programming concepts and structured development practices.

Erdi is most passionate about machine learning and building models that create measurable value. He aims to contribute to innovative, technology-driven solutions and continue growing as a developer in the AI/ML field.

Frenki is a student at the “Gjergj Canco” Vocational High School, where he specializes in Information and Communication Technology (ICT) with a focus on Programming. Through his academic journey, he has developed a strong interest in software development, logical thinking, and problem-solving, gaining a solid foundation in programming principles and digital technologies.

In parallel with his high school studies, Frenki is currently attending the Machine Learning training program at Holberton Albania. This experience is allowing him to expand his knowledge in data-driven technologies, modern computing methods, and practical problem-solving, while strengthening his analytical and technical skills in an innovative learning environment.

Although he is not yet professionally employed, Frenki is highly motivated to invest in continuous learning and personal development. His long-term goals include obtaining strong academic and professional training, building a successful career in the technology sector, and contributing to impactful projects in programming and emerging technologies. He is committed to growth, discipline, and developing the skills necessary to succeed in a competitive and evolving digital field.

Kloea holds a Bachelor’s degree in Economic Informatics from the University of Tirana, Faculty of Economics, from which she gained valuable and fundamental knowledge on programming, statistics and econometric methods. At the moment, she is pursuing the Machine Learning Study Program at Holberton School, aiming to expand her expertise through data science courses.

Her professional background includes internships in various software and web development roles. Most recently, Kloea worked as an intern in Microsoft Dynamics 365 & Power Platform Development at Lufthansa Industry Solutions, where she supported automation and digital workflow improvements by implementing Power Automate flows and developing C# plugins. She also contributed to various web projects during her internship as a Web Developer at Vatra.

Her academic and professional preparation is complemented by certificates in Python for Data Science and Deep Learning, expressing her ambition and interest in applying AI to solve operational challenges, particularly in automating decision-making workflows, predictive analytics for business planning, and intelligent process optimization.  

Krisalda is currently pursuing a Bachelor’s degree in Software Engineering at University

Metropolitan Tirana, where she consistently distinguishes herself through academic excellence

and an incisive, analytical mindset. She is deepening her expertise in emerging technologies

through the Machine Learning program at Holberton School Albania, enhancing her critical

thinking and problem-solving abilities by working on complex, real-world, technology-driven

challenges.

Passionate about making a meaningful impact, she founded MetroCode, an educational initiative that introduces high school students to programming and STEM through interactive, visually engaging experiences, inspiring curiosity and confidence. As President of the Web Developers Club for two years, she mentored peers, led projects, and fostered a collaborative learning culture.

Her dedication to research and innovation is reflected in Scopus-indexed publications and multiple awards in programming championships and competitions. Through an internship at Banka Kombëtare Tregtare (BKT), she contributed to software development, database management, and API integrations, turning knowledge into practical solutions.

Megi is a highly motivated professional with a strong academic and technical background in healthcare and laboratory sciences. She was an excellent student and earned a Master of Science Scholarship, reflecting her academic merit and commitment to excellence. During her studies, she achieved First Place in a national professional medical portal competition, demonstrating strong analytical thinking and domain expertise.

For the past three years, Megi has held a Leading Position in a  Central Histopathology Laboratory, where she has developed advanced technical skills, leadership abilities, and a deep understanding of diagnostic workflows and quality standards. Her role involves coordinating laboratory processes, problem-solving in high-responsibility environments, and supporting efficient, accurate diagnostic outcomes.

Alongside her professional career, Megi is actively developing skills in Python, Data  Analysis, and Machine Learning, with a particular interest in Healthcare AI and Laboratory Automation. Her goal is to bridge medical expertise with emerging technologies to design innovative, data-driven solutions that enhance laboratory efficiency and diagnostic accuracy.

Peter is a DevOps Engineer with over 3 years of experience. He joined the Machine Learning program at Holberton to further his knowledge on Data Engineering, Machine Learning and AI.

Peter aims that by the end of the program, he will have furthered his skills in the field allowing him to contribute more at his job and open doors for himself to new opportunities that may arise in the future.

He hopes that someday in the future he will have his own startup, and lead it to engineering excellence.

Sara holds a Bachelor’s degree in Computer Engineering from Epoka University and has completed two certified professional trainings in frontend and full-stack software development. She is currently attending the Machine Learning Program at Holberton Albania, aiming to further develop her expertise in data science, machine learning and intelligent systems.

Her professional experience in Albania includes roles and internships as a software developer across web and mobile environments. Sara has collaborated on technology-focused projects involving the development and optimization of digital platforms and enterprise systems, working within Agile teams. Through this experience, she has strengthened her technical problem-solving skills, contributed to cross-platform solutions and supported the delivery of scalable and maintainable software while adapting to evolving project requirements.

She is currently focused on advancing her profile in data science and machine learning, actively working on analytical and modeling projects using real-world datasets. In parallel, she has developed strong managerial, strategic and creative skills through independent professional initiatives. Sara aims to develop impactful, data-driven solutions that combine strong software engineering foundations with advanced analytics and predictive modeling.

Sara holds a Bachelor’s degree in Finance and Accounting from the University of Tirana, graduating with excellent academic results. During her studies, she actively participated in academic projects and community initiatives, which strengthened her analytical thinking, problem-solving abilities, and teamwork skills.

She has completed two Full-Stack bootcamps at Coding Dojo, part of Colorado Technical University (USA), specializing in Java and Python. During these programs, she developed multiple web applications and real-world projects, gaining solid experience in backend development, database design, and full-stack web technologies.

With several years of experience as an Auditor and Accountant for U.S.-based companies, she developed strong expertise in financial reporting, reconciliations, audit procedures, and data analysis, working with international teams to ensure accuracy and compliance. She is currently attending a Machine Learning program at Holberton Albania, where she aims to deepen her expertise in emerging technologies. By combining her finance background with machine learning and software development, she seeks to build innovative, data-driven solutions that enhance financial processes, improve decision-making, and help organizations leverage intelligent systems for greater efficiency and accuracy.

Sindi holds a Bachelor’s degree in Business Informatics from the Agricultural University of Tirana. After completing her undergraduate studies, she pursued a Foundation of Computer Science program at Holberton School Albania, where she spent one year building strong fundamentals in programming, problem-solving, and software development. She is currently continuing her studies in Machine Learning at Holberton School Albania, with a focus on data analysis and intelligent systems.

Throughout her academic journey, Sindi has developed a strong interest in technology, particularly machine learning and software engineering. While completing her studies, she has gained work experience in roles outside her field of specialization, which have contributed to the development of her communication skills and work ethic.

Sindi aims to further strengthen her technical expertise and apply her academic knowledge to real-world projects in the technology sector. Her goal is to contribute to innovative, data-driven solutions and to build a professional career in the field of computer science and machine learning.