Musaib Parray - Research Intern – Exploring Reasoning with Diffusion Models

Q: Where is Musaib based?

Musaib is based in Erlangen, Germany and prefers 100% remote projects.

Q: What languages does Musaib speak?

Musaib speaks the following languages: English (Advanced), German (Elementary) .

Q: How many years of experience does Musaib have?

Musaib has at least 2 years of experience. During this time, Musaib has worked in at least 4 different roles and for 3 different companies . The average length of individual experience is 5 months . Note that Musaib may not have shared all experience and actually has more experience.

Q: What is Musaib's latest experience?

Musaib's most recent position is Research Intern – Exploring Reasoning with Diffusion Models at Machine Learning and Perception group, FAU Erlangen-Nürnberg .

Q: What companies has Musaib worked for in recent years?

In recent years, Musaib has worked for Machine Learning and Perception group, FAU Erlangen-Nürnberg , LMS, FAU Erlangen-Nürnberg , and Aligarh Muslim University .

Q: Which industries is Musaib most experienced in?

Musaib is most experienced in industries like Education , Healthcare , and Automotive . Musaib also has some experience in Information Technology .

Q: Which business areas is Musaib most experienced in?

Musaib is most experienced in business areas like Research and Development .

Q: What is Musaib's education?

Musaib holds a Master in Communications and Multimedia Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and a Bachelor in Electrical Engineering from Aligarh Muslim University .

Q: What is the availability of Musaib?

Musaib is immediately available full-time for suitable projects.

Recommended expert

Erlangen, Germany

Experience

Oct 2025 - Present

6 months

Germany

Research Intern – Exploring Reasoning with Diffusion Models

Machine Learning and Perception group, FAU Erlangen-Nürnberg

Investigating the equivalence between the Tiny Reasoning Model (TRM) and diffusion models for structured reasoning tasks such as Sudoku and maze solving.
Exploring the reasoning and generative capabilities of diffusion models in symbolic problem-solving environments.

Apr 2025 - Aug 2025

5 months

Germany

Machine Learning Lab – Autonomous Driving & Generative Models

LMS, FAU Erlangen-Nürnberg

Built an ML pipeline for autonomous driving in OpenAI Gymnasium, generating labeled datasets from simulation frames and control actions.
Designed and trained lightweight CNN and RNN models for end-to-end control and implemented model compression for real-time inference.
Designed and trained a diffusion model from scratch on MNIST, implementing denoising, sampling, and image generation during inference.

Jan 2025 - Mar 2025

3 months

Germany

Canny Edge Detection Optimization (DSP Lab Project)

LMS, FAU Erlangen-Nürnberg

Implemented the full Canny Edge Detection pipeline in Python using OpenCV, modularizing key stages such as gradient computation and hysteresis thresholding.
Enhanced performance by integrating CLAHE preprocessing and multi-scale Gaussian filtering, improving edge contrast and localization.
Conducted experiments on the BSDS500 dataset to analyze the impact of parameter tuning and multi-scale edge combination.

Sep 2022 - May 2023

9 months

India

Bachelor Thesis – EEG Seizure Detection Using CNN

Aligarh Muslim University

Developed a CNN-based model for epileptic seizure detection using CHB-MIT EEG data.
Compared time-domain and FFT-based features, achieving superior performance with frequency-domain inputs.
Designed a lightweight CNN for real-time classification of seizure states (Interictal, Preictal, Ictal).

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Education, Automotive, Information Technology, and Healthcare.

Education

Automotive

Information Technology

Healthcare

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Research and Development.

Research and Development

Summary

M.Sc. student majoring in Machine learning in Signal Processing at FAU Erlangen with a strong foundation in machine learning, signal processing, and deep generative models. Experienced in implementing neural architectures for perception and generation tasks.

Skills

Programming: Python, Matlab, C++
Libraries & Frameworks: Pytorch, Numpy, Scipy, Gymnasium, Librosa
Tools: Jupyter, Matlab, Git
Domains: Deep Learning, Generative Models (Gans, Diffusion Models), Reinforcement Learning, Audio And Image Processing, Adaptive Filters
Other Skills: Data Visualization, Version Control, Scientific Writing

Languages

English

Advanced

German

Elementary

Education

Oct 2023 - Present

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Master of Science, Communications and Multimedia Engineering · Communications and Multimedia Engineering · Erlangen, Germany

Oct 2019 - Jun 2023

Aligarh Muslim University

Bachelor of Technology, Electrical Engineering · Electrical Engineering · Aligarh, India · First Division Honours, 8.95/10.0

Statistics

Experience

Total positions 4

Experience in Education 1.5 y

Avg length 5 m

Longest experience 8 m

Global Experience

Countries worked in 2 (Germany, India)

Primary country Germany

Expertise

Recent roles Research Intern – Exploring Reasoning with Diffusion Models, Machine Learning Lab – Autonomous Driving & Generative Models, Canny Edge Detection Optimization (DSP Lab Project)

Main industries Education, Automotive, Information Technology

Main business areas Research and Development

Qualifications

Highest degree Master

Profile

Created

October 2025

Last Update

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Musaib based?

Musaib is based in Erlangen, Germany and prefers 100% remote projects.

What languages does Musaib speak?

Musaib speaks the following languages: English (Advanced), German (Elementary).

How many years of experience does Musaib have?

Musaib has at least 2 years of experience. During this time, Musaib has worked in at least 4 different roles and for 3 different companies. The average length of individual experience is 5 months. Note that Musaib may not have shared all experience and actually has more experience.

What roles would Musaib be best suited for?

Based on recent experience, Musaib would be well-suited for roles such as: Research Intern – Exploring Reasoning with Diffusion Models, Machine Learning Lab – Autonomous Driving & Generative Models, Canny Edge Detection Optimization (DSP Lab Project).

What is Musaib's latest experience?

Musaib's most recent position is Research Intern – Exploring Reasoning with Diffusion Models at Machine Learning and Perception group, FAU Erlangen-Nürnberg.

What companies has Musaib worked for in recent years?

In recent years, Musaib has worked for Machine Learning and Perception group, FAU Erlangen-Nürnberg, LMS, FAU Erlangen-Nürnberg, and Aligarh Muslim University.

Which industries is Musaib most experienced in?

Musaib is most experienced in industries like Education, Healthcare, and Automotive. Musaib also has some experience in Information Technology.

Which business areas is Musaib most experienced in?

Musaib is most experienced in business areas like Research and Development.

What is Musaib's education?

Musaib holds a Master in Communications and Multimedia Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and a Bachelor in Electrical Engineering from Aligarh Muslim University.

What is the availability of Musaib?

Musaib is immediately available full-time for suitable projects.

What is the rate of Musaib?

Musaib's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.