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Aayan A. AI, Cloud and Computer Vision Platforms

My name is Aayan A. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Python, OpenCV, YOLO, Image Classification, etc.. I hold a degree in , , Bachelor of Science (BS). Some of the notable projects I've worked on include: Brain Tumor Segmentation, Car Counting App, Football Tracking, Nike Logo Detection, Gesture Recognition UI with Real-Time Volume & Mute Controls, etc.. I am based in Karachi, Pakistan. I've successfully completed 8 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Cloud and Computer Vision Platforms

    7 years

  • Computer Vision

    5 Years

  • Python

    2 Years

  • OpenCV

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Technocollabs

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Experience Highlights

Brain Tumor Segmentation

I just completed a project that combines object detection and segmentation to identify brain tumors in MRI scans. Tools used: 1. Python 2. YOLOv11 3. SAM2

Car Counting App

Real-Time Car Tracking and Counting using YOLOv9 + OpenCV! I just completed a full computer vision pipeline that: - Detects cars in video using YOLOv8 - Tracks each car with unique IDs using a cust

Football Tracking

Completed Football Tracking using YOLOv8 What steps I performed? 1. Collected images from video 2. Annotated almost 300 images 3. Applied various data augmentation techniques in Roboflow resulting

Nike Logo Detection

Real-time object detection model that identifies the iconic Nike logo using YOLOv11 and a custom-labeled dataset. Tools used: Ultralytics, Roboflow, Python

Gesture Recognition UI with Real-Time Volume & Mute Controls

🚀 Developed Gesture Recognition with Real-Time Volume & Mute Controls Decrease and increase your volume without touching your laptop. Tools used: 1. Mediapipe - for hand tracking 2. OpenCV - image

Education

  • St Pauls school

    in

    2012-01-01-2020-01-01

  • Sceptre College

    in

    2020-01-01-2022-01-01

  • Virtual University Of Pakistan

    Bachelor of Science (BS) in Computer science

    2023-01-01-2027-01-01

Languages

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