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A highly enthusiastic AI Engineer and Computer Science graduate from COMSATS University who has a proven track record of creating and deploying production-ready Deep Learning and Computer Vision solutions. As a Machine Learning Engineer at Goftech, I build scalable inference pipelines and add complex models like YOLOv8 and Llama 3.2 to real-time apps. These include smart Urdu voice agents and systems that can replace backgrounds with high accuracy. I stand out because of my technical skills and competitive performance. For example, I placed in the top 3 out of 150 teams in a national AI competition by building a custom mitosis detection pipeline that was 87% accurate. I have a lot of experience with all stages of development, from custom data annotation and model fine-tuning to multi-threaded optimization and REST API deployment. This guarantees high-impact results in a wide range of AI areas.…A highly enthusiastic AI Engineer and Computer Science graduate from COMSATS University who has a proven track record of creating and deploying production-ready Deep Learning and Computer Vision solutions. As a Machine Learning Engineer at Goftech, I build scalable inference pipelines and add complex models like YOLOv8 and Llama 3.2 to real-time apps. These include smart Urdu voice agents and systems that can replace backgrounds with high accuracy. I stand out because of my technical skills and competitive performance. For example, I placed in the top 3 out of 150 teams in a national AI competition by building a custom mitosis detection pipeline that was 87% accurate. I have a lot of experience with all stages of development, from custom data annotation and model fine-tuning to multi-threaded optimization and REST API deployment. This guarantees high-impact results in a wide range of AI areas.

Muhammad Ahmad

5.0 (1 review)

A highly enthusiastic AI Engineer and Computer Science graduate from COMSATS University who has a proven track record of creating and deploying production-ready Deep Learning and Computer Vision solutions. As a Machine Learning Engineer at Goftech, I build scalable inference pipelines and add complex models like YOLOv8 and Llama 3.2 to real-time apps. These include smart Urdu voice agents and systems that can replace backgrounds with high accuracy. I stand out because of my technical skills and competitive performance. For example, I placed in the top 3 out of 150 teams in a national AI competition by building a custom mitosis detection pipeline that was 87% accurate. I have a lot of experience with all stages of development, from custom data annotation and model fine-tuning to multi-threaded optimization and REST API deployment. This guarantees high-impact results in a wide range of AI areas.…A highly enthusiastic AI Engineer and Computer Science graduate from COMSATS University who has a proven track record of creating and deploying production-ready Deep Learning and Computer Vision solutions. As a Machine Learning Engineer at Goftech, I build scalable inference pipelines and add complex models like YOLOv8 and Llama 3.2 to real-time apps. These include smart Urdu voice agents and systems that can replace backgrounds with high accuracy. I stand out because of my technical skills and competitive performance. For example, I placed in the top 3 out of 150 teams in a national AI competition by building a custom mitosis detection pipeline that was 87% accurate. I have a lot of experience with all stages of development, from custom data annotation and model fine-tuning to multi-threaded optimization and REST API deployment. This guarantees high-impact results in a wide range of AI areas.

Available to hire

A highly enthusiastic AI Engineer and Computer Science graduate from COMSATS University who has a proven track record of creating and deploying production-ready Deep Learning and Computer Vision solutions. As a Machine Learning Engineer at Goftech, I build scalable inference pipelines and add complex models like YOLOv8 and Llama 3.2 to real-time apps. These include smart Urdu voice agents and systems that can replace backgrounds with high accuracy. I stand out because of my technical skills and competitive performance. For example, I placed in the top 3 out of 150 teams in a national AI competition by building a custom mitosis detection pipeline that was 87% accurate. I have a lot of experience with all stages of development, from custom data annotation and model fine-tuning to multi-threaded optimization and REST API deployment. This guarantees high-impact results in a wide range of AI areas.

Skills

Experience Level

Expert

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Language

Urdu

Advanced

English

Fluent

Work Experience

Machine Learning Engineer at GOFTECH

June 1, 2025 - Present

Role & Responsibilities: Lead the end-to-end development of real-time computer vision systems, focusing on high-precision segmentation for live video feeds. Architect and deploy intelligent voice-based assistants utilizing advanced retrieval-augmentation techniques for natural language interaction. Design production-ready inference pipelines that integrate complex facial mapping logic for seamless virtual object placement. Optimize system performance through multi-threaded processing to ensure low-latency responses and high-fidelity visual outputs. Collaborate with cross-functional engineering teams to scale AI deployments across diverse production environments. Key Achievements: Developed a regional language voice agent that achieved human-like response times through optimized semantic search and vector retrieval. Engineered a background replacement pipeline that attained 98% segmentation accuracy while improving frame processing speeds by 45%. Successfully mapped 8 distinct facial regions for a virtual makeup system, delivering a lightweight and scalable application for client integration.