8000 FatehMuhammad (Fateh Muhammad) Β· GitHub
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Putting out fires I didn’t start
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Putting out fires I didn’t start

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@devspection

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FatehMuhammad/README.md

Hey πŸ‘‹, It's Fateh Muhammad!

Glad to see you here! Β  Visitors


πŸ“¬ Connect with me

Linkedin Badge Twitter Badge Github Badge Kaggle Badge Medium Badge


πŸ’‘ About Me

  • AI/ML Engineer, Backend Developer & Problem Solver
  • Currently building SaaS tools and AI-powered solutions
  • Learning Full Stack Development and DevOps at scale
  • Fun fact: I’m only social on social media
  • Reach me: fatehmuhammad2002@gmail.com

πŸŽ“ Education

I graduated with a Bachelor's in Artificial Intelligence from FAST NUCES Islamabad, Pakistan. Highlights:

πŸ“˜ Core Courses:

"Design and Analysis of Algorithms", "Artificial Intelligence", "Programming for Artificial Intelligence", "Machine Learning", "Knowledge Rep. and Reasoning", "Natural Language Processing", "Artificial Neural Networks", "Computer Vision", "Cloud Security", "Information Security", "DevOps", "Entrepreneurship" and more.


πŸ’Ό Professional Experience

Sr. AI/ML Engineer – Hyetel X

I lead the development of CRM and ERP systems for corporate clients. I am gathering and analyzing requirements, designing system architecture and databases, and managing a small development team. I regularly meet with clients to discuss progress, clarify needs, and keep projects on track. I also handle incoming leads from platforms like Upwork, respond to queries, conduct technical discovery calls, and help convert them into active clients through staff augmentation or project-based work.

Software Engineer (AI/ML) – devSpection

Founded devSpection to deliver scalable AI tools and SaaS solutions. Worked with clients across the globe on ML systems, computer vision apps, and full-stack Python development.

Software Engineer – [Fiverr]

Completed 80+ projects (rated 4.9β˜…) across AI/ML, NLP, automation, and custom Python tools. I am Specialized in building fast prototypes and solving complex backend problems.

Software Engineer – [Thusney Commerce Group, Ltd.]

Developed auto-trading tools and internal software systems for a Canadian fintech company. Contributed to algorithmic decision-making modules and backend APIs.

Machine Learning & NLP Intern – [AIM Lab, FAST NUCES]

Conducted research on empathetic response generation, assisted in MS-level thesis work, and presented insights on prior academic implementations.


🧰 Tools & Technologies I Work With


πŸ“Š GitHub Stats & Activity

Languages I Speak
English β˜…β˜…β˜…β˜…β˜†
Urdu β˜…β˜…β˜…β˜…β˜…
Punjabi β˜…β˜…β˜…β˜…β˜†

Reach out to collaborate on research & development projects

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  1. Supervised-Machine-Learning-Regression-and-Classification Supervised-Machine-Learning-Regression-and-Classification Public

    This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera. You can take a look, if you are unable to complete these graded …

    Jupyter Notebook 9 7

  2. Advanced-Learning-Algorithms Advanced-Learning-Algorithms Public

    This repository is composed of Solution notebooks for Course 2 of Machine Learning Specialization taught by Andrew N.g. on Coursera. This repository have four notebooks, One notebook for each week.…

    Jupyter Notebook 7 6

  3. Unsupervised-Learning-Recommenders-Reinforcement-Learning Unsupervised-Learning-Recommenders-Reinforcement-Learning Public

    This repository is composed of Solution notebooks for Course 3 of Machine Learning Specialization taught by Andrew N.g. on Coursera. You can take a look, if you are unable to complete these graded …

    Jupyter Notebook 3

  4. Generation-of-Text-using-n-gram-models Generation-of-Text-using-n-gram-models Public

    Python 1

  5. Schedule-real-time-processes Schedule-real-time-processes Public

    In this problem, I was required to implement a min-heap (priority queue) to schedule real-time processes.

    C++ 1

  6. Speech-Emotion-Recognition Speech-Emotion-Recognition Public

    I trained machine Learning Model to predict emotion of a person in audio. Either a person is neutral, happy, sad or angry.

    Jupyter Notebook 1

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