Musaib Parray-Research Intern – Exploring Reasoning with Diffusion Models
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Experience
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.
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.
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.
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
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Experienced in Education, Automotive, Information Technology, and Healthcare.
Business area experience
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Experienced in 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
Education
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Master of Science, Communications and Multimedia Engineering · Communications and Multimedia Engineering · Erlangen, Germany
Aligarh Muslim University
Bachelor of Technology, Electrical Engineering · Electrical Engineering · Aligarh, India · First Division Honours, 8.95/10.0
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Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Musaib is based in Erlangen, Germany and prefers 100% remote projects.
Musaib speaks the following languages: English (Advanced), German (Elementary).
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 1 year and 6 months. Note that Musaib may not have shared all experience and actually has more experience.
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).
Musaib's most recent position is Research Intern – Exploring Reasoning with Diffusion Models at Machine Learning and Perception group, FAU Erlangen-Nürnberg.
In recent years, Musaib has worked for Machine Learning and Perception group, FAU Erlangen-Nürnberg, LMS, FAU Erlangen-Nürnberg, and Aligarh Muslim University.
Musaib is most experienced in industries like Education, Healthcare, and Automotive. Musaib also has some experience in Information Technology.
Musaib is most experienced in business areas like Research and Development.
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.
The availability of Musaib needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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