Freelancer profile translated to English.

Description

I help teams make applications measurably faster and more scalable – through performance optimization, parallel programming, and clean software engineering practices. Typical engagements: finding bottlenecks (profiling/tracing), reducing latency, increasing throughput, and cutting costs – from algorithms to architecture.

Services:

Performance analysis, benchmarking, load/stress testing, tuning (CPU/RAM/I/O)

Parallel programming (e.g., task/threading, SIMD/vectorization, distributed workloads)

Back-End development (API design, data access, caching, observability)

Front-End development (rendering/bundle optimization, Core Web Vitals, UX performance)

I work in a structured way with clear metrics (before/after), reproducible tests, and pragmatic improvements that remain stable in production. In short: fast software, delivered cleanly.

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 Optimization
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 Optimization
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 Optimization 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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