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$10 USD / hour
Flag of PAKISTAN
lahore, pakistan
$10 USD / hour
It's currently 8:29 AM here
Joined September 22, 2021
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Talha U.

@mdldev

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$10 USD / hour
Flag of PAKISTAN
lahore, pakistan
$10 USD / hour
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Data Scientist | Machine Learning Engineer

I'm a Machine Learning Engineer with more than 4 years of professional experience. I am an expert in machine learning, data science, computer vision and Web applications. My main areas of expertise are: Machine learning, Computer Vision, NLP and Data Science - pattern recognition, classification, segmentation, object detection and tracking, recommendation system, CNNs, RNNs, GNNs, LLM Python, Django Framework, PyTorch, TensorFlow, Keras, OpenCV PostgreSQL, MySQL, NoSQL

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Portfolio

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Experience

Data Science Engineer

Knowledge Platform
Mar 2021 - Present
I've implemented computer vision solutions for object detection, tracking, and face recognition, as well as NLP models for sentiment analysis and text classification. Developed real-time data pipelines, analyzed business requirements, and designed a predictive model using graph neural networks, replacing traditional systems.

Machine Learning Engineer

Al-Khawarizmi Institute of Computer Science (KICS)
Sep 2019 - Feb 2021 (1 year, 5 months)
Research and development of computer vision and deep learning projects. I worked on the different models using TensorFlow, Keras, and different other libraries for experimentation for research and development.

Education

MS/M.Phil. In Computer Science

University of Central Punjab, Pakistan 2019 - 2021
(2 years)

Bachelor of Computer Sciences

COMSATS Institute of Information Technology, Pakistan 2014 - 2018
(4 years)

Publications

Interpretation of Expressions through Hand Signs Using Deep Learning Techniques

Springer
Our study presents an efficient solution to interpret sign language automatically using transfer learning with VGG16 architecture. The system can classify seven basic gestures representing emotions, achieving 99.98% accuracy. Comparison of performance with different architectures and optimizers further validates our approach.

COVID-19 SOP’s Violations Detection in Terms of Face Mask Using Deep Learning

IEEE
Amid the ongoing COVID-19 pandemic and the spread of variants, wearing face masks correctly is vital. Our study proposes an improved YOLOv4 model to autonomously monitor SOP compliance, detecting not just mask usage, but ensuring it covers the mouth and nose, alerting authorities for any breaches. This aids in effective pandemic management.

Intelligent Traffic Signal Automation Based on Computer Vision Techniques Using Deep Learning

IT Professional
Our goal is to alleviate urban traffic congestion via real-time signal automation. Using advanced deep learning techniques, we detect/count vehicles in real-time and adjust signal timings accordingly, enhancing traffic flow.

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