Haseeb S. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Haseeb S. AI, Cloud and Data Science Platforms

My name is Haseeb S. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Data Science, Machine Learning, Python, Artificial Intelligence, Data Analysis, etc.. I hold a degree in Master of Science (MS), Bachelor of Science (BS). Some of the notable projects I've worked on include: Fake News Detection, Face Recognition System using DeepFace, Text-Generation-AI-Next-Word-Prediction. I am based in Islamabad, Pakistan. I've successfully completed 3 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • AI, Cloud and Data Science Platforms

    4 years

  • Data Science

    2 Years

  • Machine Learning

    1 Year

  • Python

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

NADRA

Ready to get matched with vetted developers fast?

Let's get started today!

Hire Remote Developer

Experience Highlights

Fake News Detection

This project aims to build a machine learning model to detect whether a given news article is real or fake. The model is trained on a dataset of news articles labeled as "REAL" or "FAKE" using a linea

Face Recognition System using DeepFace

This project implements a real-time face recognition system using the DeepFace library in Python. The system captures video from a webcam, detects faces in the video frames, and matches them against a

Text-Generation-AI-Next-Word-Prediction

This project implements a text generation model using a Long Short-Term Memory (LSTM) neural network architecture in TensorFlow. The model is trained on a dataset of news articles and can generate new

Education

  • National University of Sciences and Technology

    Master of Science (MS) in Systems engineering

    2019-01-01-2023-01-01

  • University of Management and Technology (Pakistan)

    Bachelor of Science (BS) in Electrical engineering

    2013-01-01-2018-01-01

Languages

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