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Faizan A. AI, Cloud and Machine Learning Platforms

My name is Faizan A. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, Model Optimization, Deep Learning, Computer Vision, Python, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: SmartComply, GoldenEye Data Processing, CheckMA - A cloud solution for students assignments and learning, Linkedin profile Selection based on Job Description using NLP. I am based in Islamabad, Pakistan. I've successfully completed 4 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • AI, Cloud and Machine Learning Platforms

    8 years

  • Natural Language Processing

    5 Years

  • Model Optimization

    5 Years

  • Deep Learning

    5 Years

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

SmartComply

Smart Comply is the compliance scheme founded in offering you unrivalled support, advice and value.

GoldenEye Data Processing

It is a files data processing application to process files and assign each file a category and sub categories using Data Processing and Machine Learning. We split data in these categories 1. Document Files 2. Document Images 3. Social Media 4. Person Images (Selfies, Group Photos) 5. Split Emojis and other

Linkedin profile Selection based on Job Description using NLP

Our goal for this project was to scrape people profile of specific skills from linkedin and train a Machine Learning model. So when we have a job description, we feed into model and get top profiles for that job description. We scrapped a number of profiles from linkedin. Then train a Deep Learning model using Tensorflow with our labeled data. After that we created an API so when we pass job description to model, it gives us profiles of top people with skills related to that job description.

Education

  • University of Agriculture, Faisalabad

    Bachelor of Computer Science (BCompSc) in Computer science

    2015-01-01-2019-01-01

Languages

  • English
  • Urdu

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