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Ali Shariati Najafabadi

Software Developer Β· M.Sc. Computer Science student @ TU Darmstadt

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About

  • πŸ’Ό Software Developer @ Capgemini β€” Jun 2026 – Present
  • πŸ’Ό Working Student, Software Development & Test Automation @ Fraport AG β€” Aug 2023 – Feb 2026
  • πŸŽ“ M.Sc. Computer Science, TU Darmstadt β€” 2026
  • πŸ“„ B.Sc. Computer Science, TU Darmstadt β€” 2021 – 2026
  • πŸ“ Darmstadt, Germany

Tech Stack


Featured Project

stars forks

Real-time voice and face conversion pipeline with a client-server architecture and GUI, built at the System Security Lab, TU Darmstadt.

Tech: Python Β· PyTorch Β· GFPGAN Β· InsightFace Β· Diff-HierVC


Other Projects

  • Context-Aware Captions from Photos β€” Fine-tuned BLIP-2 on the GoodNews dataset for context-aware image captioning.
  • Tool Support for Sustainable Protocol Security (SEEMOO, TU Darmstadt) β€” Full-stack tool analyzing LoRaWAN security vulnerabilities across 100+ research papers.
  • Multimodal Deepfake Detection (Bachelor Thesis, Fraunhofer SIT) β€” Deep learning system detecting and localizing audio-video manipulations, combining CNNs and transformer architectures (Wav2Vec, HuBERT).

Work Experience

Software Developer β€” Capgemini Jun 2026 – Present

Working Student, Software Development & Test Automation β€” Fraport AG Aug 2023 – Feb 2026

  • Built 60+ E2E tests (TestComplete, Gherkin) and 70+ API tests (ReadyAPI), cutting manual testing time by 60%
  • Integrated tests into CI/CD for Kafka message validation
  • Worked in an agile team with regular sprint reviews

Education

M.Sc. Computer Science β€” Technical University of Darmstadt Oct 2026 – Present

B.Sc. Computer Science β€” Technical University of Darmstadt Oct 2021 – 2026 Bachelor Thesis: Detection of Multimodal Deepfakes @ Fraunhofer SIT


GitHub Stats


Languages

German β€” Advanced Β· English β€” Advanced Β· Persian β€” Native


Contact

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  1. Real-Time-Deepfake-Pipeline Real-Time-Deepfake-Pipeline Public

    Real-Time Deepfake Pipeline

    Python 37 14