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Email verificeret.
chitral,
pakistan
Klokken er nu 1:10 AM her
Tilmeldt januar 9, 2021
0
Anbefalinger
Ayaz M.
@AyazMhmd
0,0
0,0
chitral,
pakistan
N/A
Jobs færdiggjort
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Genansættelsesrate
ML Engineer | Computer vision | NLP
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Portefølje indlæg
Yolov5 Custom Model training
Yolov5 Custom Model training
Yolov5 Custom Model training
Yolo custom object detection
Yolo custom object detection
Yolo custom object detection
Yolo custom object detection
Anomaly Detection from Video Streams using Deep learning
Anomaly Detection from Video Streams using Deep learning
Anomaly Detection from Video Streams using Deep learning
Anomaly Detection from Video Streams using Deep learning
Anomaly Detection from Video Streams using Deep learning
Anomaly Detection from Video Streams using Deep learning
Anmeldelser
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Ingen anbefalinger at se her!
Erfaring
Artificial Intelligence Engineer
mar. 2022 - Nuværende
National Center of Artificial intelligence works under the government and we focus on research and product based project. Currently we are working on Medical imaging which includes TB classification and detection, Breast Cancer Classification and segmentation and Brain tumor classification and segmentation. Apart from this, we work on Smart cities project like lane detection, object tracking, distancing etc. In NLP, We work on language translation and text to speech and vice versa projects
Data Scientist
mar. 2020 - Nuværende
Working as an AI research Scholar with one the prestigious place. We as a team have worked on multiple research and product based project.
Uddannelse
Computer System Engineering
(4 år)
Kvalifikationer
Bs in Engineering
University of Engineering and Technology
2021
I have completed my engineering Degree and currently working as a data scientist in a multinational software house
Publikationer
Multimedia Analysis of Disaster-Related Social Media Data
Mediaeval Competition
In the first part, we Classified the tweeter data as disaster or not from the data shared by the organization
In the second part, we specified the location using named entity recognition
We have used different modeling technique as the project has two parts. We explored the state-of-the-art model for
this and achieved F1 score of 92
Arrhythmia Detection Using Deep Learning Techniques
IEEE Transactions on Biomedical circuits and systems.
Classified ECG signal using a Conventional Neural Network (CNN) & LSTM.
Anomaly Detection from Video Streams Using Deep Learning techniques
IEEE
It was my final year project and we worked on 4 anomalous category from video data and classified the videos. we achieved 82% of accuracy
Kontakt Ayaz M. angående dit job
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Verifikationer
Bedste færdigheder
Gennemse lignende freelancere
Python Developers in Pakistan
Python Developers
Machine Learning Experts
Imaging Engineers
Gennemse lignende fremvisninger
Python
Machine Learning (ML)
Imaging
Data Science
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