Description

Ich helfe Teams, Anwendungen messbar schneller und skalierbarer zu machen – durch Performance Optimierung, Parallel Programming und saubere Software Engineering-Praxis. Typische Einsätze: Bottlenecks finden (Profiling/Tracing), Latenzen senken, Durchsatz erhöhen und Kosten reduzieren – vom Algorithmus bis zur Architektur.

Leistungen:

Performance-Analyse, Benchmarking, Load/Stress-Tests, Tuning (CPU/RAM/I/O)

Parallel programming (z. B. Task-/Threading, SIMD/Vectorization, verteilte Workloads)

Back-End development (API-Design, Datenzugriff, Caching, Observability)

Front-End development (Rendering-/Bundle-Optimierung, Core Web Vitals, UX-Performance)

Ich arbeite strukturiert mit klaren Metriken (Before/After), reproduzierbaren Tests und pragmatischen Verbesserungen, die im Betrieb stabil bleiben. Kurz: schnelle Software, sauber geliefert.

Industry field of expertise

Languages

English
Native or bilingual
German
Fluent
Albanian
Native or bilingual

Workplace preferences

Can work on-site

Karlsruhe (up to 50km)

Karlsruhe Institute of Technology
Performance Engineer
RESEARCH
August 2022 - Today (3 years and 10 months)
Karlsruhe, Germany
• • JobMon Backend (Go): Core developer of a production monitoring service; optimized InfluxDB and PostgreSQL performance through query tuning and intelligent caching strategies.
• • JobMon Frontend (TypeScript, React, Next.js): Core developer; im proved dashboard rendering performance through metric catego rization and migrated the UI to ChakraUI v3.
• • IFOS3D (C/C++): Improved computational efficiency and redesigned parallel I/O routines, enabling full overlap of computation and I/O and significantly reducing simulation turnaround time.
• • CPV (Bash): Contributor to the Cluster Performance Verification benchmark suite; integrated IO500, DLIO, and elbencho to validate storage and AI-relevant workloads.
• • IOAS (Go): Designed and implemented a cluster-wide I/O monitoring tool that detects excessive usage patterns and automatically notifies users.
• • Designed and executed comparative benchmarks for time-series databases (QuestDB vs. InfluxDB) to guide backend technology de cisions.
• • PMFRG (Julia): Implemented performance optimizations that achieved near-linear scaling across increasing core counts.
C++ Parallel programming Front-End development Performance Optimierung
Inria Nancy,
R&D engineer
RESEARCH
February 2021 - September 2022 (1 year and 7 months)
Laboratoire ICube, Strasbourg, France
• • OCaml Rewrote the entire OptiTrust library from scratch.
• • Implemented numerous source-to-source code transformations used in a Particle-in-Cell case study.
• • Completed and optimized the full C/C++ case study, applying sys tematic performance engineering until desired results were achieved.
Ocaml C++ Performance Optimierung
CIRAD-Inria,
Research Intern
RESEARCH
September 2020 - March 2025 (4 years and 6 months)
Montpellier, France
• • Python Developed Python-based proofs of concept for parallelizing the LPy and MTG libraries.
• • Python: Designed a parallel algorithm for traversing multiscale tree graphs, improving scalability for large biological models..
Parallel programming Python (Programming Language) C++ Performance Optimierung Software Engineering

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M.Sc. Industrial and Applied Mathematics.
University of Grenoble Alpes
2020
M.Sc. Industrial and Applied Mathematics.
Bachelor of Mathematics
University of Prishtina
2017
Bachelor of Mathematics

Other

Begatim B.

Performance Engineer

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