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Faisal F. Cloud, AI and Data Science Platforms

My name is Faisal F. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Data Science, Python, Machine Learning, Deep Learning, Natural Language Processing, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: HealthLink - AI-Powered Telemedicine Platform, Cloud Pipeline for Real-Time Data Extraction and Database Maintenance. I am based in Islamabad, Pakistan. I've successfully completed 2 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • Cloud, AI and Data Science Platforms

    6 years

  • Data Science

    5 Years

  • Python

    5 Years

  • Machine Learning

    3 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

HealthLink - AI-Powered Telemedicine Platform

HealthLink's backend built using Django Rest Framework (DRF), featuring JWT-based authentication and authorization. It integrates LangChain, Large Language Model, Microsoft Presidio and employs a CNN Emotion Recognition Model with 82.7% accuracy, deployed via TensorFlow Lite. The platform supports payments through Google Pay, video calls with PeerJS, real-time chat using Django Channels, and transcription via the WebSpeech API. Async tasks are managed with Celery and Redis. Deployed on Fly.io with Docker, the system uses CI/CD pipelines through GitHub Actions.

Education

  • COMSATS Institute of Information Technology

    Bachelor of Science (BS) in Computer science

    2020-01-01-2024-01-01

Languages

  • English
  • Hindi
  • Urdu

Personal Accounts