400万人が利用する会社訪問アプリ
Renoworks- Canada / Artificial Intelligence Tech Lead
Skilled Artificial Intelligence Engineer with 8+ years’ of experience in Deep Learning, Computer Vision, Generative AI, Machine Learning, Knowledge Graphs, Data Science, Cloud Computing, and Programming. Passionate about building scalable and reliable learning systems that automate the scientific discovery process and decision making to solve real-world business problems. I have over 5 years’ of
Use my skills in Artificial Intelligence/Deep Learning/Machine Learning/Computer Vision to architect, collaborate, develop, test, and deploy AI applications at scale and improve their efficiency, performance, and reliability
• Developed AI Exterior Home Visualization SasS platform that is 30% more accurate than the previous generation. • Designed a scalable hybrid micro-service architecture on Amazon Web Services (AWS) that is 4x faster and can handle 15x the current load while keeping the b
• Created an AI concierge service for generative design in modular construction. • Created a Product Recommendation Engine using Knowledge Graph. • Created a Knowledge Graph of size 1 Billion nodes and 4 Billion rela
• Teaching Deep Learning, Machine Learning, Computer Vision etc to the bachelors and masters students through workshops and online sessions • Guide students in their projects
• Designed AI based intelligent photo sharing platform • Developed and tested Deep Learning based Object/ Face Recognition and Scene Understanding models • Developed Deep Learning based Image Ranking/ Similarity models
✔Evaluate the performance of students and help them to organise their studies and also provide motivation to them during the course of the program so that they can finish all projects in time. ✔ Supply of resources and advice to better understand the content of the cours
Train Deep Learning Algorithms on Digital mammography images to diagnose Breast Cancer
Train Deep Learning models for cancer diagnosis by segmenting the Lesions/tumors in CT-Scan images
o Created new defence object detection data-set o Developed deep learning based object detection models
Use extended kalman filters and sensor fusion(LIDAR & RADAR data) to detect and track the velocity and position of a bicycle that is moving near our vehicle.
• Developed Object Detection models for Defence, to be used in Autonomous Vehicles for surveillance applications • Develop and test reliable Deep Learning models for Autonomous Driving
Train Deep Learning models to diagnose cancer by training it on Colo-Rectal Histology images
Machine learning
Muhammad Razzaqul Haiderが+1
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Udacity / Self Driving Cars Nano Degree
Train Deep Learning models for cancer diagnosis by segmenting the Lesions/tumors in CT-Scan images
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