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mskhan793/README.md

👋 Hello, I'm Muhammad Shahzad Khan

AI Engineer | Computer Vision Specialist | Doctoral Researcher

I'm an AI Engineer and researcher with a strong focus on Computer Vision. Currently pursuing my doctorate at the University of Jyväskylä, Finland in the Machine Intelligence Methods and Applications (MIMA) group. In parallel, I'm actively learning and building AI Agents using LangChain and N8n.


🎓 Education

Qualification Institution Year
MS Electrical (Control) Engineering Jiangsu University, Zhenjiang, China 2021
Bachelor's in Electronics Quaid-e-Azam University, Pakistan 2017

💼 Professional Experience

Doctoral Researcher at University of Jyväskylä, Finland (January 2024 - Present)

  • Conducting research on advanced machine learning techniques for imbalanced classification
  • Specializing in Computer Vision applications
  • Part of the Machine Intelligence Methods and Applications (MIMA) group

R & D Engineer at Jiangsu Tongling Electric Co. Ltd., Jiangsu, China (May 2022 - December 2023)

  • Designed and developed PLC-based automation solutions for industrial applications
  • Provided end-to-end automation system design and implementation
  • Worked on control systems and industrial automation projects

Junior AI Engineer at AbletechSolutions, Lahore, Pakistan (October 2022 - December 2022)

  • Worked on Computer Vision and Object Detection projects
  • Implemented deep learning models for image processing and detection tasks

Test Engineer at National Institute of Electronics, Ministry of Science & Technology, Pakistan (July 2017 - July 2018)

  • Worked in Center of Testing and Quality Certification of Electronics Products (July 2017 - December 2017)
  • Automation Control and Embedded Systems Lab (PIC Microcontrollers) (January 2018 - June 2018)

Parallel Learning:

  • Building AI Agents using LangChain and N8n
  • Exploring AI agent architectures and automation workflows

📚 Publications

  • 3D Visualization in Turbid Water Using Optimal Photon Counting and a GAT-based Peplography Method - Applied Optics 2024
  • A Non-linear Model Predictive Control based on LS-SVM and Grey Wolf Optimization - Sensors 2020
  • Soft sensor modelling for L-lysine fermentation process based on MLSSVM - Scientific Reports 2020
  • Data-Driven Soft Sensor Model Based on Deep Learning - SN Computer Science 2021

🛠️ Technical Skills

  • Computer Vision: Image processing, object recognition, object detection, deep learning frameworks
  • Machine Learning & AI: Transfer learning, classification, imbalanced datasets
  • AI Agents: LangChain, N8n, AI automation workflows
  • Industrial Automation: PLC programming, control systems design
  • Programming: Python, MATLAB, C/C++, SQL
  • Deep Learning: TensorFlow, PyTorch
  • Embedded Systems: Arduino, PIC, ATmega microcontrollers, FPGA/Verilog

🔗 Connect With Me


Feel free to explore my repositories and reach out if you'd like to collaborate!

Popular repositories Loading

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    The goal of this project is to leverage AI/ ML model to segment customers for launching a specific targeted Ad-campaign.

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  3. MTLF MTLF Public

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    A Unified Framework for Metric Transfer Learning

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    This project will make use of Foursquare API.

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  5. Coursera_Capstone Coursera_Capstone Public

    Forked from sure1704/Coursera_Capstone

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  6. Hackathon Hackathon Public

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    Epidemic Prediction and Notification System Team 20

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