Situation professionnelle
Souhait professionnel
- Informatique / Génie Logiciel
- Conseil
Résumé
Experienced AI researcher with a strong background in graph machine learning, NLP, deep learning, and data science, currently pursuing a PhD at EPFL, with research on the topic of scalable knowledge graph reasoning and generation. Skilled in developing and deploying machine learning models to solve complex data challenges, with 5+ years of experience in Python, PyTorch, and pandas. Consulting experience at Data Masters and an AI & data engineering position at Swisscom, delivering AI-driven solutions to improve data infrastructure, enhance decision-making, and drive business value.
Expériences professionnelles
Machine learning researcher
EPFL (École polytechnique fédérale de Lausanne) , Lausanne
De Novembre 2021 à Aujourd'hui
- Full-time position at Prof. Volkan Cevher’s group
- Focused on developing AI-powered solutions for scalable knowledge graph reasoning and graph generation
- Extensive experience with graph ML, GenAI, NLP, LLMs, general deep learning, and optimization algorithms
Data consultant
Data Masters , Skopje - CDD
De Mars 2024 à Août 2024
- 6.5 months of 10h/week part-time employment as a remote data consultant;
- Work on real project for Neptun Macedonia DOO Skopje;
- Market Basket Analysis, Product Segmentation, Customer Profiling;
Machine learning & data analysis intern
Swisscom , Lausanne
De Février 2021 à Août 2021
- Master thesis internship project requiring telco network database analysis, modeling & prediction
- 700x query speed-up for 95% preserved query accuracy
Software engineer
CERN , Meyrin
De Juin 2018 à Août 2018
- 8 weeks of payed internship as a summer student at the organization;
- Placement in the Beams division, Operations group, ISOLDE section;
- Duties related to maintenance and development of web services for the Operations group;
- Continuous collaboration and consultation with a designated mentor;
- 5-week-long lecture programme with lectures on topics from physics, engineering and computer science;
- Implementation and presentation of an independent student project during the internship, consisting of development of 3 web applications using VueJS and PHP;
Student assistant
Faculty of Computer Science and Engineering - Skopje , Skopje - CDD
De Janvier 2018 à Juin 2019
- 3 semesters of payed part-time work at the faculty, with 12 working hours per week;
- Duties related to facilitating students' laboratory exercises and subsequent evaluation and grading of students' work;
- Duties related to assisting professors and teaching assistants in conducting exams;
- Laboratory assistant duties assigned for 5 courses;
Software engineer
Endava , Skopje
De Juillet 2017 à Août 2017
- 6 weeks professional training in software development;
- Theoretical experience through organized presentations and meetings;
- Practical experience through work on a live project, a three-part task management application developed in AngularJS, Spring Boot and MySQL;
- Work on testing the finished product;
- Frequent communication with mentors and company officials;
- Presentation of the finished product in the presence of company heads;
Formations complémentaires
Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje
Bachelor of Science (Information Science), Sub-Degree: Computer Science and Engineering - Computer Science and Engineering
2015 à 2019
- Major: Computer Science and Engineering;
- Total of 8 semesters with a total of 40 passed courses;
- Total of 240,00 ECTS credits earned;
- Final grade point average: 10,00 / 10;
- Bachelor thesis: "A fusion approach for exploring the key factors pertaining to rumour analysis";
École Polytechnique Fédérale de Lausanne
Master of Science in Data Science - Data Science
2019 à 2021
- Programme: Data Science MSc;
- Total ECTS credits: 121;
- Credit-weighted grade point average: 5.69 / 6;
- Semester project:
⠀⠀⠀ ⠀- Title: Assessment of Changing Collaborative Patterns Over Time;
⠀⠀⠀ ⠀- Field: Data science, Learning analytics;
⠀⠀⠀ ⠀- Supervisor: Dr. Jennifer Olsen;
⠀⠀⠀ ⠀- Laboratory: Computer Human Interaction for Learning and Instruction (CHILI);
- Master project:
⠀⠀⠀ ⠀- Title: Graph embedding methods for graph completion;
⠀⠀⠀ ⠀- Field: Network science, Deep learning;
⠀⠀⠀ ⠀- Supervisor: Prof. Dr. Volkan Cevher;
⠀⠀⠀ ⠀- Laboratory: Laboratory for Information and Inference Systems (LIONS);
École Polytechnique Fédérale de Lausanne
Doctor of Science - Computer Science
2021 à 2025
- Programme: EDIC
- Research topics: Knowledge Graph Reasoning, Graph Generation, Scalability
- Thesis title: TBA
Parcours officiels
Langues
Anglais - Courant
Français - Notions
Macédonien du nord - Langue maternelle
Compétences
Centres d'intérêt
- Data Science
- Data Analytics
- Research & Development
- Applied Research
- Machine Learning
- Knowledge Graphs
linkedin
github