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Sannan A. AI, Machine Learning and Deep Learning Platforms

My name is Sannan A. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Deep Neural Network, Machine Learning, JupyterLab, Deep Learning, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: AI-powered quiz-solving web app using LangGraph and LangChain with RAG, Medical Imaging Disease Detection through Inpainting Diffusion Models, Vehicle License Plate Recognition, Implementation of RAAGR2-Net, Hand written digit classifier. I am based in Islamabad, Pakistan. I've successfully completed 5 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Machine Learning and Deep Learning Platforms

    3 years

  • Artificial Intelligence

    1 Year

  • Deep Neural Network

    2 Years

  • Machine Learning

    1 Year

Additional skills

  • Artificial Intelligence
  • Deep Neural Network
  • Machine Learning
  • JupyterLab
  • Deep Learning
  • Image Processing
  • Natural Language Processing
  • Deep Learning Modeling
  • Hugging Face
  • Image Segmentation
  • Object Detection & Tracking
  • Image Classification
  • Diffusion Model
  • OCR Algorithm
  • Flask

Direct hire

Potentially possible

Previous Company

Intelligent Field Robotics Lab, National Centre of Artificial Intelligence

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Experience Highlights

AI-powered quiz-solving web app using LangGraph and LangChain with RAG

Developed an AI-powered quiz-solving web app using LangGraph and LangChain with Retrieval-Augmented Generation (RAG) and memory. Supports step-by-step reasoning and tracks previous answers. Built with

Medical Imaging Disease Detection through Inpainting Diffusion Models

This project leverages inpainting diffusion models for medical imaging, focusing on the removal of tumors from images. The model identifies and isolates tumor regions, filling in the area with surroun

Vehicle License Plate Recognition

This project involves a Vehicle License Plate Recognition (LPR) system designed to enhance security in gated or safe societies. The admin dashboard provides an overview of cars listed under different

Implementation of RAAGR2-Net

This is the implementation of the paper Ayadi W, Elhamzi W, Atri M. A deep conventional neural network model for glioma tumor segmentation. Int J Imaging Syst Technol. 2023;1‐13. doi:10.1002/ima.22892

Hand written digit classifier

The project was to read digits from a roll number box present on a bubble sheet used for MCQs in exams. The first part of the project was to identify where the roll number box was located in the image

Education

  • National University of Sciences and Technology

    Bachelor of Engineering (BEng) in Electrical engineering

    2019-01-01-2023-01-01

Languages

  • English (Fluent)