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My Projects
Aimped-ExclusiveAI models Service related to Healthcare
As an AI Model Deployment Specialist at Aimped, I played a pivotal role in deploying and managing a wide range of AI models related to healthcare and text extraction. Leveraging my expertise, I successfully implemented these models to enhance healthcare processes and streamline text extraction methods. My responsibilities included model selection, integration, and ensuring seamless execution for clients. …
Road Crack Segmentation
AI assisted tool to detect Road Cracks and other major distresses on road using set of Segmentation Deep learning algorithms. This algorithm uses deep learning techniques to analyse images of roads and accurately …
YOUDATA-Anomaly detection in Medical MRI images
Youdata is an AI-powered project that provides Anomaly detection in medical imaging Such as detection of anomalies in organs. Handful set of Segmentation models have been used to Detect anomalies in MRI images and to get mask along with classification of them.
Eyespec NLP based AI system for Summarization
The system provides a summarized version of a PDF document, making it easier to read and understand the specification documents of mechanical instruments. Eyesspec has the capability to extract meaningful information from unstructured text data, transforming ….
Education & Experience
2016-2019
Information TEchnology University (ITU)- Lahore, Pakistan
MSCS Program: Computer Science
2012-2016
Punjab University College of Information Technology - Lahore, Pakistan
BSIT Program: Information & Technology.
09/2021-01/2023
Machine Learning / Computer Vision Engineer - Dough.zone, USA
Implementing state-of-the-art deep models for detection and segmentation algorithms on road imagery – Conducting narrow crack segmentation and performing statistical analysis of damaged areas on highways – Leading a team of ML developers, ensuring efficient collaboration throughout the product development lifecycle, from data collection to model deployment – Deploying deep learning models on the cloud using REST APIs for seamless accessibility.
08/2020-05/2021
Machine/Deep Learning Egineer - groundup.ai, SIngapore
Developed methods utilizing signal processing and deep learning models for abnormality detection in machine audios – Implemented techniques for noise reduction and cancellation in audio signals – Created RESTful APIs for serving machine learning models Deployed models on the AWS cloud platform to enable seamless access and scalability.
04/2018-08/2021
Machine LEarning engineer - AimbotStudio, LHR, PAK
Designed AI solutions for diverse problems in medical imaging, sports video analytics, sensor and signal audio data, and geophysical data – Applied machine learning and deep learning models for classification, detection, segmentation, and custom-made ranking algorithms – Tested and validated state-of-the-art approaches for suitability and effectiveness in product integration – Customized selected approaches to meet specific product requirements – Deployed models and algorithms, ensuring smooth integration and functionality within the product solution – Conducted comprehensive testing to verify performance, accuracy, and reliability of implemented solutions.
Clients
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