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Ahad M. AI, Machine Learning and General Development

My name is Ahad M. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Artificial Neural Network, Deep Learning, TensorFlow, etc.. I hold a degree in Master of Science in Information Technology (MSc(IT)), Bachelor of Science (BS). Some of the notable projects I've worked on include: Book Yolo Mobile APP, Sentiment & Emotion Detector, Live Match Predictor, AI Analytics RAG Assistant. I am based in Lynwood, Australia. I've successfully completed 4 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Machine Learning and General Development

    0 years

  • Artificial Intelligence

    1 Year

  • Machine Learning

    1 Year

  • Artificial Neural Network

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Soft Techniques

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Experience Highlights

Book Yolo Mobile APP

Created an app that analysis vacation and travel residences from Airbnb, Vrbo, Booking, Expedia, Hotels or Agoda, and based on a prompt provides a details feedback of the listing.

Sentiment & Emotion Detector

AI system that identifies human emotions. It classifies emotions such as happiness, sadness, anger, and surprise using deep learning techniques. Built with Python, OpenCV, and TensorFlow, this project

Live Match Predictor

The Live Match Predictor is an AI system that forecasts the outcome of ongoing sports matches in real time. It analyzes live match data, such as team performance, player statistics, and game momentum,

AI Analytics RAG Assistant

The AI Analytics RAG Assistant is an intelligent system that uses Retrieval-Augmented Generation (RAG) to analyze files & data and provide accurate, context-aware insights. It combines the power of AI

Education

  • Curtin University

    Master of Science in Information Technology (MSc(IT)) in Information Systems and Technology

    2018-01-01-2020-01-01

  • University of Western Australia

    Bachelor of Science (BS) in Computer science

    2014-01-01-2018-01-01

Languages

  • English (Native or Bilingual)
  • Norwegian (Native or Bilingual)