Ali Dasmeh

Ali Dasmeh

Research Engineer
Max Planck Institute for Human Development
Center for Human and Machine

I am helping CHM's fascinating team actualize the experiments they need to study the impact of AI on humans, individually and at the societal level. my role is full-stack development and ML engineering.

About Me

Ali Dasmeh is an experienced professional in Software and AI/ML, currently working as a Research Engineer at the Max Planck Society – Human Development in Berlin, Germany. Ali is based in Potsdam, Germany , and holds a Master’s degree in Software Engineering from the University of Europe for Applied Science, alongside a second Master's in Cognitive Science and a Bachelor's in Music. His technical expertise covers a range of programming languages and technologies, including Python, JavaScript, Kotlin, PyTorch, TensorFlow, and various web development tools like ReactJS and NextJS. His work experience also includes roles as a Research Engineer Working Student at the Max Planck Society and a Software Engineer Working Student at Wayfair, and he has co-founded two startups. Ali is proficient in Farsi/Persian (Native) and English (C1), and has several publications and certifications in areas such as AWS Cloud, Data Science, and Machine Learning with JavaScript.

Work Experience

Research Engineer

Max Planck Society – Human Development

Apr 2025 - Present (Berlin, Germany)

  • Technologies: PyTorch, TensorFlow, PostgreSQL, ElasticSearch, Kibana, HuggingFace, vLLM, SLURM
  • Responsibilities: [...] (Details pending)

Research Engineer – Working Student

Max Planck Society – Human Development

Aug 2024 - Mar 2025 (Berlin, Germany)

  • Technologies: ReactJS (NextJS), MongoDB, Python, FastAPI, Docker, Kubernetes, Cloud (DWDG)

Software Engineer – Working Student

Wayfair

Dec 2023 - Jul 2024 (Berlin, Germany - EU Office)

  • Technologies: Spring Boot, Kotlin, PostgreSQL, NextJS, Docker, Kubernetes

Co-founder and CTO

Cor-Tex.app

Jun 2021 - Sep 2023

  • Technologies: NodeJS (Express), MySQL, HTML, CSS, React

Developer and Supporter

IFST (Iran Foundation of Science and Technology)

Feb 2018 - Sep 2023

  • Technologies: PHP, NodeJS (Express), MySQL, HTML, CSS

Co-founder and CTO

ArtYad

Sep 2015 - Feb 2018

  • ArtYad was a startup in the field of e-learning. Due to some teaming problem, it shut down.
  • Technologies: PHP, MySQL, HTML, CSS

Education

Master's Degree in Software Engineering

University of Europe for Applied Science, Potsdam, Germany

2023 - 2025

Master's Degree in Cognitive Science

Institute for Cognitive Science Studies, Tehran, Iran

2020 - 2022

*Minor: Design and Creativity

Bachelor's Degree in Music

University of Tehran, Iran

2013 - 2018

*Specialization: Iranian Music Performance

Publications

A Study on Improving Kansei Engineering Precision through the Implicit Association Test.

International Journal of Architectural Engineering & Urban Planning, Nov 2025.

Co-authored with N. Koleini Mamaghani and P. Hassani-Abharian.

Comparison Between Discrete and Analog Semantic Differential Scales Accuracies in Kansei Engineering (Case Study: Reception Chairs).

Journal of Design Thinking, Vol. 5, No. 1, pp. 47–56.

Co-authored with N. Koleini Mamaghani and P. Hassani-Abharian.

Deep Learning-Based Cloned Structured Causal Graphs for World Model Learning

University of Europe for Applied Sciences (Potsdam), March 2025

Supervised by Dr. Tristan Stober and Prof. Dr. Iftikhar Ahmed

Summary: Using deep learning techniques to improve the generalization capacity of the Hidden Markov Model based cognitive maps.

Analysis of Cognitive Assessment Paradigms in Improving Emotion Measurements in Kansei Engineering

Iran Institute for Cognitive Science Studies, Summer 2022

Supervised by Dr. N. Koleini Mamaghani and Dr. P. Hasani Abharian

Summary: Implementing Behavioural and Brain Imaging (EEG/ERP) methods on the Kansei method to improve its precision.

Pivots of Computational Music Composing Using Artificial Intelligence

University of Tehran, Summer 2018

Supervised by Dr. K. Moulana

Summary: Using machine learning techniques to compose pieces of music based on the users’ general preferences.

Certifications

AWS Cloud Practitioner Essentials

FutureLearn

Overall Score: 92/100

Certificate ID: c7ixsox

Migration to AWS cloud

FutureLearn

Overall Score: 80/100

Certificate ID: b71nhsh

Data Science with Python

Simplilearn

Certificate Code: 3433341

Data Dashboards and Storytelling with Tableau

FutureLearn

Overall Score: 86/100

Certificate ID: 2apk6cd

Data Visualisation with Python: Matplotlib and Visual Analysis

FutureLearn

Overall Score: 83/100

Certificate ID: 3qdd9uz

Ethics of Neuroscience and AI (Certified)

Bernstein Center for Computational Neuroscience Berlin

2024

Machine Learning with JavaScript

Udemy

Credential ID UC-5df1556e-658a-4ccb-4a5018a4619

Building IoT Solutions for Energy and Water Resource Management

ITU

Credential ID: s6i39rD0LB

Digital Transformation: Enhancing IoT Driven Accessibility for PWD

ITU

Credential ID: MquJVHrW3C

Software Skills

Python
JavaScript
Kotlin
MatLab
ReactJS / Native
NextJS
FastAPI / Flask
Spring Boot
NodeJS / Express
PHP
MySQL / PostgreSQL
Mongo DB
PyTorch / Keras
Numpy / Pandas
Matplot / Tableau
TensorFlowJS
ml5.js
EEGLab / ERPLab
AWS
GCP