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Md Faruk A. AI, Cloud and Data Platforms

My name is Md Faruk A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Deep Learning, Python, Machine Learning, Natural Language Processing, etc.. I hold a degree in High school degree, Bachelor's degree. Some of the notable projects I've worked on include: Lego Bricks Detection and Counting with Jetson Orin, Automated Monitoring of Carel Controllers, Web Application for Facial Recognition and Skin Problem Detection, Automating Tomato Harvesting using YOLO, Monitoring Engineers in a Factory Using Computer Vision, etc.. I am based in Rangamati, Bangladesh. I've successfully completed 13 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Cloud and Data Platforms

    2 years

  • Computer Vision

    1 Year

  • Deep Learning

    1 Year

  • Python

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Applineed AI

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Experience Highlights

Lego Bricks Detection and Counting with Jetson Orin

This project leverages the power of Jetson Orin to detect and count Lego bricks in real-time using AI. The system uses computer vision algorithms to process video input, accurately identifying individ

Automated Monitoring of Carel Controllers

Automated monitoring of Carel controllers by processing and analyzing images captured by GoPro cameras. A YOLOv8 nano model was trained on Google Colab L4 GPUs, achieving 95% accuracy in identifying

Web Application for Facial Recognition and Skin Problem Detection

This web application leverages cutting-edge AI technology for facial recognition and skin problem detection. Built with a React frontend, Flask backend, and YOLOv8 for accurate image processing, the a

Automating Tomato Harvesting using YOLO

Using computer vision, I aim to accurately identify and count ripe and unripe tomatoes. By integrating this system with robotics, the goal is to enable robots to navigate tomato fields and selectively

Monitoring Engineers in a Factory Using Computer Vision

✅ People Detection & Counting: Successfully identified and counted the number of engineers actively working on the factory floor. This technology proves essential in assessing staffing levels and oper

Education

  • Lakers Public School & College

    High school degree in

    2017-01-01-2019-01-01

  • Sylhet Agricultural University

    Bachelor's degree in Agricultural engineering

    2020-01-01-2024-01-01

Languages

  • Bengali (Native or Bilingual)
  • German (Conversational)
  • English (Fluent)
  • Spanish (Conversational)