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Naveed K.

Naveed K.

Rawalpindi, Pakistan

Machine Learning Engineer and Python Developer

I love to work on challenging Artificial Intelligence ideas, and highly demanding and cutting-edge technologies in a fast-paced while focused on product value, customer retention, collaboration, and teamwork. I am passionate to work on competitive projects and solve difficult problems. My core area of expertise is in Computer Vision, Natural Language Processing, Data Science applications, and deploying trained models on cloud and edge devices. I have worked on different projects e.g., Natural Language Processing: • Abstractive text summarization • Text Classification • Sentiment Analysis • Text Classification • Fake News identification • Customer reviews analysis • Question Answering • Chatbots • Text to speech and speech • NLP in Healthcare specifically for radiology reports Computer Vision: • Yoga/ Exercise Simulator using Pose-estimation algorithms • Face detection and recognition • Anomaly Detection • Object Detection and Tracking (YOLOv1 – YOLOv7) • Pedestrian detection • Traffic flow analysis • Road condition monitoring • Healthcare (X-Ray analysis, CT, and MRI) • Movement analysis Generative Adversarial Networks (GANs): • Image-to-Image Translation • Text-to-Image Translation • Super Resolution • Semantic-Image-to-Photo Translation Internet of Things: • Smart Farming • Remote patient monitoring • Connected Cars • Maintenance management Technical Skills: • Machine Learning: Python, NLTK, SpaCy, Gensim, Numpy, Pandas, Scikit-Learn, OpenCV Tensorflow, Keras, Pytorch, RNN, CNN, LSTM, Transformers, Huggingface. • Embedded Systems: Verilog, System Verilog, ModelSim, Xilinx Vivado 2020.2, Zynq-7000, AVR microcontrollers, Arduino, ESP-32, Nvidia Jetson Nano and Xavier, Raspberry Pi, Oak-D, Assembly Language, C/C++, MicroPython. • Data Science: Beautiful Soup, Scrapy, Selenium, PowerBI, MySQL
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Naveed K.

Naveed K.

Rawalpindi, Pakistan
1
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Machine Learning Engineer and Python Developer

Specializes in
I love to work on challenging Artificial Intelligence ideas, and highly demanding and cutting-edge technologies in a fast-paced while focused on product value, customer retention, collaboration, and teamwork. I am passionate to work on competitive projects and solve difficult problems. My core area of expertise is in Computer Vision, Natural Language Processing, Data Science applications, and deploying trained models on cloud and edge devices. I have worked on different projects e.g., Natural Language Processing: • Abstractive text summarization • Text Classification • Sentiment Analysis • Text Classification • Fake News identification • Customer reviews analysis • Question Answering • Chatbots • Text to speech and speech • NLP in Healthcare specifically for radiology reports Computer Vision: • Yoga/ Exercise Simulator using Pose-estimation algorithms • Face detection and recognition • Anomaly Detection • Object Detection and Tracking (YOLOv1 – YOLOv7) • Pedestrian detection • Traffic flow analysis • Road condition monitoring • Healthcare (X-Ray analysis, CT, and MRI) • Movement analysis Generative Adversarial Networks (GANs): • Image-to-Image Translation • Text-to-Image Translation • Super Resolution • Semantic-Image-to-Photo Translation Internet of Things: • Smart Farming • Remote patient monitoring • Connected Cars • Maintenance management Technical Skills: • Machine Learning: Python, NLTK, SpaCy, Gensim, Numpy, Pandas, Scikit-Learn, OpenCV Tensorflow, Keras, Pytorch, RNN, CNN, LSTM, Transformers, Huggingface. • Embedded Systems: Verilog, System Verilog, ModelSim, Xilinx Vivado 2020.2, Zynq-7000, AVR microcontrollers, Arduino, ESP-32, Nvidia Jetson Nano and Xavier, Raspberry Pi, Oak-D, Assembly Language, C/C++, MicroPython. • Data Science: Beautiful Soup, Scrapy, Selenium, PowerBI, MySQL
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More than 30 hrs/week

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