About Me
I'M
Muhammad Maaz.
AI Engineer
Meticulous Machine Learning and AI Engineer accomplished in compiling, transforming and analyzing complex information through software. Intermediate knowledge in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
M
I graduated as a Software Engineer, and I am seeking new opportunities in the field of Artificial Intelligence.
I am a caring and dedicated professional.
Led our final year project "Pashto speech-to-text processing system using deep learning and transformers". Where I worked on an Automatic Speech Recognition (ASR) model "Whisper" (OpenAI), fine-tuned it on our gathered data (Pashto dataset), and integrated it with a mobile application (Flutter-based). Here the application takes Pashto voices as input and predicts and displays its corresponding Pashto text on the screen.
Currently working as a Machine Learning Intern with two Tech organizations, DevelopersHub Corporation and, BiStarX.
01 PROFESSIONAL
MY KNOWLEDGE LEVEL IN SOFTWARE
Machine Learning
85%
Deep Learrning (Transformers)
70%
Python
95%
Excel
70%
Powerpoint
80%
MS.Office
85%
HTML & CSS
85%
English Language
80%
German (Deutsche)
40%
Turkish (Turkche)
Arabic
20%
20%
02 PORTFOLIO
MY LATEST WORK. SEE MORE >
03 Experience
Mar 10, 2025 - Present
BiStarX
Machine Learning Intern
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Preprocessing different Datasets
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Traning different Machine Learning models
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Models evaluation and optimization
Dec 24, 2024 - Feb 09, 2025
DevelopersHub
Corporation
AI & Machine Mearning Intern
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Preprocessed large datasets
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Trained different Machine Learning, Deep Learning and NLP models on datasets
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Evaluated and optimized trained model
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May, 2024-Aug, 2024
University of Malakand
Project Team Leader
At the University of Malakand, Khyber Pakhtunkhwa, Pakistan, I led my Final Year Project "Pashto Speech-to-Text Processing System using Deep Learning and Transformers".
This is an Automatic Speech Recognition (ASR) based system that is aimed at recognizing voice notes in the Pashto language and transforming it into its corresponding text.
In addition, this project is also funded by NGIRI (Ignite).
Dec, 2022 - Oct, 2023
Remotasks
Remotasks Reviewer
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Annotating and Segmenting different tasks Evaluating already annotated and segmented tasks
