Fracture Detection on X-Ray images
Using Segnet, ViT, YOLO on FracAtlas and GRAZPEDWRI-DX Dataset
Wajahat H is an AI Engineer with several years of experience in machine learning and data engineering. He utilizes technologies such as Python, TensorFlow, FastAPI, PostgreSQL, and Redis to build complex machine learning models, REST APIs, and data pipelines. Wajahat is adept at implementing security and authentication protocols like OAuth 2.0 and JWT, and he integrates continuous integration practices in his workflow. At Red Buffer, Wajahat developed a contract intelligence platform and an incident management system, showcasing his ability to build scalable backend systems. During his tenure at Data Quartz, he engineered a computer vision-based suspicious behavior detection system and managed data orchestration pipelines, demonstrating his proficiency in real-time data integration. Wajahat holds a BS in Computer Science from the National University of Sciences and Technology (NUST). He is well-suited for roles focusing on AI system development and data-driven solutions in dynamic environments.
Using Segnet, ViT, YOLO on FracAtlas and GRAZPEDWRI-DX Dataset
Using MST-E dataset on HLNet Framework
Using DistilBERT and EmoReact
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AI Engineer
0-2 years experience
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