Aqib Riaz
AI Engineer (Computer Vision) at Adlytic AI- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Credentials
-
Sequence Models
CourseraJun, 2022- Nov, 2024 -
Convolutional Neural Networks
CourseraApr, 2022- Nov, 2024 -
Structuring Machine Learning Projects
CourseraAug, 2021- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraJul, 2021- Nov, 2024 -
Neural Networks and Deep Learning
CourseraApr, 2021- Nov, 2024 -
Machine Learning
CourseraJan, 2020- Nov, 2024
Experience
-
Adlytic AI
-
United States
-
Software Development
-
1 - 100 Employee
-
AI Engineer (Computer Vision)
-
Nov 2022 - Present
In my current role, I work on developing computer vision solutions for a variety of applications, including retail analytics, security, and automation. As a computer vision engineer, I'm responsible for the end-to-end pipeline of these solutions, which involves data collection, annotation validation, model building, training and fine-tuning existing models, benchmarking of models, and writing Python pipelines that utilize models to solve business logic according to client requirements. I gained expertise in Jetson devices while working in this role. I'm also responsible for deployment using Docker. Key Accomplishments: 1-Successfully developed computer vision solutions for a variety of clients, resulting in improved retail analytics and security measures. 2-Tested and ensured the quality of implemented solutions. 3-Utilized my skills in TensorRT, CUDA, and Docker to optimize models and improve their performance. 4-Developed application for Optra devices by Lexmark. Responsibilities: 1-Work closely with clients to understand their needs and requirements. 2-Develop and implement end-to-end computer vision solutions for a variety of applications. 3-Utilize my skills in data collection, annotation validation, model building, and training and fine-tuning to ensure the accuracy and performance of our solutions. 4-Benchmark models and utilize optimization techniques to improve their performance. 5-Write Python pipelines to utilize models to solve business logic according to client requirements. 6-Deploy our solutions using Docker to ensure consistency and ease of use. 7-I am also responsible for testing and ensuring the quality of implemented algorithms, as well as documenting the process. I then work to resolve any discrepancies found during testing in order to develop a production-grade solution. Show less
-
-
-
-
Self Employed
-
-
National University of Sciences and Technology (NUST)
-
Pakistan
-
Higher Education
-
700 & Above Employee
-
Research Assistant
-
Jan 2022 - Jun 2022
-Research and Develop various SOTA AI Pipelines -Build and Deploy Deep Learning Models on Edge Devices -Assign Tasks and Provide Guidance to Internees about Projects -Research and Develop various SOTA AI Pipelines -Build and Deploy Deep Learning Models on Edge Devices -Assign Tasks and Provide Guidance to Internees about Projects
-
-
Education
-
National University of Sciences and Technology (NUST)
Master of Science - MS, Artificial Intelligence -
Air University
Bachelor of Engineering - BE, Electrical and Electronics Engineering