Curriculum Vitae
Contact Information
Name: Preslav Aleksandrov
Email: pa511@cam.ac.uk
Website: preslav.xyz
GitHub: github.com/Hellios113
Education
PhD in Computer Science
University of Cambridge, United Kingdom
[Start Date] – Present
- Focus on foundational models, scalability, sustainability, and efficient tokenization.
MSc in Software Development
University of Glasgow, United Kingdom
[Month, Year] – [Month, Year]
- Covered a comprehensive curriculum including systems programming, algorithms, databases, and machine learning.
- Research focused on federated learning and optimization problems in distributed systems.
- Thesis: "Decentralised Optimization Methods for Federated Learning Systems"
Research Interests
- Foundational models & AI scaling laws
- Efficient training and inference
- Optimization for large-scale ML
- Federated learning and privacy-preserving ML
- Sustainability in machine learning
- Tokenization strategies for LLMs
Experience
Teaching Assistant, L46
University of Cambridge
[Month, Year] – Present
- Guided lab sessions, prepared instructional content, and assisted students in advanced ML and AI systems.
Research Intern
Institute/Company Name, [City, Country]
[Month, Year] – [Month, Year]
- Developed [concise summary of your intern research project].
Publications
Skills
- Languages: Python, C, LaTeX, Bash
- Tools: PyTorch, TensorFlow, NumPy, Pandas, Git
- Other: High-performance computing, Linux systems, Docker, Slurm
Awards and Scholarships
- [Award Name], [Awarding Body], [Year]
- [Scholarship Name], [Institution], [Year]
Talks & Presentations
- Title of Talk, [Conference/Seminar], [Year]
- Workshop, [Event Name], [Year]
Service & Leadership
- Organizer, [Reading Group Name], University of Cambridge, [Year] – Present
- Reviewer for [Conference/Journal Name]
Last updated: May 2025