Florian Klein

Peterhouse, Cambridge | CB2 1RD, United Kingdom

Education

University of Cambridge

10/2025 - 06/2026
MPhil in Advanced Computer ScienceCambridge, UK
  • Research master specializing in Systems and Networking
  • Member of Peterhouse College, Peterhouse Boat Club, and Cambridge Union

Technical University of Munich

10/2021 - 04/2025
Bachelor of Science in Computer Science (Minor: Mathematics)Munich, Germany
  • GPA: 1.2 / 1.0, top 2% of students
  • Scholarships: German National Academic Scholarship Foundation (top 0.5% of students in Germany); Max-Weber Scholarship (top 0.5% of students in Bavaria).

Harvard University

01/2024 - 06/2024
Visiting Undergraduate Student, cross-registered at MITCambridge, US
  • GPA: 4.0 / 4.0, Research at Harvard DASLab (Data Systems Lab)
  • Member of Harvard Rowing Club and Harvard Systems Reading Group

Comenius Gymnasium Deggendorf

09/2013 - 07/2021
Highschool, Abitur (A-Levels)Deggendorf, Germany
  • GPA: 1.0 / 1.0 (894 / 900 Points); Top of the year
  • National Finalist in German National Mathematics Competition; STEM-Excellence Certificate

Research Experience

University of Cambridge; MPhil Project

10/2025 -- Present
Graduate Research Project (with Prof. Frank Stajano)Cambridge, UK
  • Researching latency-aware dealers for trading systems where the pricing curve can be arbitrarily defined.
  • Empirically evaluating different dealer strategies in a simulated market environment using Rust and Python.

Technical University of Munich; Chair of Network Architectures

10/2024 -- 04/2025
Bachelor’s Thesis Research (with Prof. Georg Carle)Munich, Germany
  • Designed and built BrowsEm, a model-based website loading emulation framework in Rust for reproducible and controllable web performance evaluations.
  • Publication: Thesis was published at the Applied Networking Research Workshop (ANRW '25).

Harvard University; Data Systems Laboratory

01/2024 -- 06/2024
Research Assistant (with Prof. Stratos Idreos)Cambridge, US
  • Conducted research on self-designing storage systems for large-scale image AI workloads.
  • Developed core components in Rust/C++, contributing to the design of a new column-store for image data.
  • Publications: CIDR '25 (Frequency-Store) and IEEE Data Engineering Bulletin '25 (Self-Designing Storage).

Publications

BrowsEm: Model-Based Web Site Loading Emulation

Holzinger, K., Klein, F., Petri, D., Lachnit, S., Gallenmüller, S., and Carle, G. (2025). In Applied Networking Research Workshop (ANRW ’25), Madrid, Spain. ACM.DOI

A novel web site loading emulation framework, enabling reproducible and controllable web performance evaluations, written in Rust.

Scalable Image AI via Self-Designing Storage

Sirin, U., Kauffman, V., Saluja, A., Klein, F., et al. (2025).IEEE Data Engineering Bulletin, Vol. 49, No. 3.

Presents Image Calculator, a self-designing image storage system that optimizes storage formats for AI workloads.

Frequency-Store: Scaling Image AI by A Column-Store for Images

Sirin, U., Kauffman, V., Saluja, A., Klein, F., et al. (2025). In CIDR ’25, Amsterdam.

A new column-store for image data, reducing data movement costs in AI applications.

Work Experience

QuantCo

04/2025 - 09/2025
Software Engineer InternMunich, Germany
  • Contributed 10+ features to polars open-source library (list.filter, arr.slice, etc.)
  • Optimized core data pipelines in Rust/Polars, reducing end-to-end latency by 30% through vectorized kernel implementations and cache-aware data layouts.

Google

06/2024 - 09/2024
Product Engineering Intern (APM); Youtube AdsZurich, Switzerland
  • Launched new Ads A/B Tests creation flow; increased flow completion rate by 35% and covered spend by 12%.
  • Developed performance analytics dashboard (React + SQL + internal APIs) for campaign launches.

German Aerospace Center (DLR)

10/2023 - 01/2024
Software Engineer Intern; Computer Vision GroupMunich, Germany
  • Developed an on-device C++ neural network inference pipeline for computer vision models.
  • Research on improving pose-estimation and object detection models for mobile manipulators.

HubSpot

07/2023 - 10/2023
Software Engineer Intern; Forms TeamBerlin, Germany
  • Developed front-end and backend validation logic (TypeScript, Java, SQL), reducing form input errors by 5%.
  • Improved backend data consistency across distributed database services.

Awards and Honors

National Finalist, German National Mathematics Competition

2020, 2021
Top 10 of high school students in Mathematics in GermanyBerlin, Germany
  • Awards (2020): 1st Prize 1. Round (2020), 1st Prize 2. Round (2020), National Finalist (Top 10)
  • Awards (2021): 1st Prize 1. Round (2021), 2nd Prize 2. Round (2021)

German National Academic Scholarship Foundation

01/2022 - 05/2025
Scholarship, awarded to top 0.5% of students in GermanyMunich, Germany
  • Scholarship Ambassador: Representing the foundation and helping students from underrepresented groups apply.

Max-Weber Scholarship

10/2021 - 05/2025
Scholarship, awarded to top 0.5% of students in BavariaMunich, Germany
  • Co-Organizer: Organizing events and talks for scholarship holders in Munich.

Relevant Projects

High Frequency Arbitrage Trading Algorithm

Personal Project: Rust; Bash; Python2024
  • Built a highly-performant HFT Arbitrage Trading algorithm in Rust on the Solana Blockchain, handling volumes of ≥ $10^8$ per month and ≥ 50,000 trades/day.

Nonlinear Optimization of Permutation Problems

Kaggle Competition; received Silver Medal (Top 2%; Rust, C++)2023
  • Developed novel optimization algorithm for permutation-based problems using Bloom Filters and SIMD.

Skills

Languages: German (native); English (fluent, C2); French (B2); Swedish (A1)

Technologies: Python; Java; C; C++; Type- / JavaScript; React; Docker; Unix; Bash; Git; GitHub; SQL; REST; Lua; x86-Assembly; RISC-V Assembly; HTTP; PyTorch; Rust