Peyman Vahidi

Fähigkeiten und Kenntnisse

Analytical Skills
Algorithm Development
Algorithms
API Integration
Creative Strategy
Artificial Intelligence (AI)
Big Data
Feature Engineering
Cross-functional Collaborations
Bioinformatics
Data Analysis
Flask
Cassandra
Data Science
Hyperparameter Optimization
Code Interpretation
Data structuree
Kubernetes
Databases
Computer Vision
MongoDB
Large Language Models (LLM)
Continuous Improvement
Dcoker
Leadership
Natural Language Processing (NLP)
Corporate Communications
Long Short-term Memory (LSTM)
Deep Learning
Numerical Optimization
Python (Programming Language)
Machine Learning
Deep Neural Networks (DNN)
Online Communications
Scalability
MATLAB
Docker
Slurm Workload Manager
Model Testing
Online Teaching
Performance Analysis
Software Deployment
Performance Tuning
Strategic Communications
PostgreSQL
Team Work
Strategic Planning
Presentation Skills
Teamwork
Strategic Thinking
Proteomics
Teaching
TensorBoard
Team Leadership
TensorFlow
Team Management
Version Control
Visual Modeling

Werdegang

Berufserfahrung von Peyman Vahidi

  • Bis heute 1 Jahr, seit Okt. 2025

    PhD Candidate

    Helmholtz Munich

  • 1 Monat, Sep. 2025 - Sep. 2025

    Working Student

    Helmholtz Munich

  • 9 Monate, Jan. 2025 - Sep. 2025

    Research Intern - RostLab

    Technical University of Munich

    Developed the tools below: • nanoPLM: easy-to-use tool for pretraining and knowledge distillation of protein language models with YAML files • PyMMseqs: Python Wrapper for MMseqs2 Contributed to the tools below: • ProtSpace: Visualization tool using pLM's embeddings or similarity matrix • Biotrainer: ML model development tool for protein analysis using pretrained pLM's More: https://github.com/peymanvahidi

  • 2 Jahre und 3 Monate, Juni 2022 - Aug. 2024

    Mentorship in Programming and Machine Learning

    Self-employed

    • Mentored over 50 individuals aged 14 to 30, enhancing their technical skills in Python, data structures, algorithms and basics of ML.

  • 3 Jahre und 1 Monat, Feb. 2019 - Feb. 2022

    Teaching Assistant

    Ferdowsi University of Mashhad

    • Assisted in teaching three core Chemical Engineering courses: Basic Principles and Calculations in Chemical Engineering (3 semesters), Thermodynamics (2 semesters), and Heat Transfer (2 semesters). • Facilitated learning for over 150 students through both onsite and online formats.

Ausbildung von Peyman Vahidi

  • Bis heute 1 Jahr, seit Okt. 2025

    Doctor of Philosophy - PhD

    Technical University of Munich

  • 2 Jahre und 1 Monat, Sep. 2023 - Sep. 2025

    Master of Science - MS

    Alma Mater Studiorum – Università di Bologna

    Thesis: ProtX: Smaller and Faster pLM via ProtT5's Knowledge Distillation

  • 2017 - 2022

    Bachelor of Science - BSs

    Ferdowsi University of Mashhad

Sprachen

  • Englisch

    C1 (Fließend)

  • Turkish

    B1-B2 (Gute Kenntnisse)

  • Persian

    C2 (Verhandlungssicher / Muttersprachlich)

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