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Raffay K. AI, Machine Learning and Data Science Platforms

My name is Raffay K. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing, etc.. I hold a degree in Bachelor of Science (BS), Bachelor of Science (BS). Some of the notable projects I've worked on include: State of Charge and Battery Degradation of EV vehicles using ML, Stock Market Prediction using Financial Reinforcement Learning, Implementation of Unet based GAN for Brain Tumor Segmentation. I am based in Islamabad, Pakistan. I've successfully completed 3 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Machine Learning and Data Science Platforms

    2 years

  • Machine Learning

    1 Year

  • Deep Learning

    1 Year

  • Data Science

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

NUCES-FAST

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Experience Highlights

State of Charge and Battery Degradation of EV vehicles using ML

The next State of Charge and its impact on battery degradation during various circumstances (e.g., summer vs winter trips) was predicted using tree classifiers and ensemble classifiers.

Stock Market Prediction using Financial Reinforcement Learning

FinRL algorithms were used to predict stock market prices and were then backtested using quantstats on a bunch of metrics.

Implementation of Unet based GAN for Brain Tumor Segmentation

Scratch implementation of Unet based GAN using Tensorflow and Keras to segment tumors from Brain MRI Images.

Education

  • FAST-NUCES

    Bachelor of Science (BS) in Artificial Intelligence

    2021-01-01-2025-01-01

  • FAST-NUCES

    Bachelor of Science (BS) in Artificial Intelligence

Languages

  • English (Fluent)
  • Urdu (Native or Bilingual)