I am Muhammad Awais Yaqoob, an AI/ML Engineer with over seven years of experience specializing in Generative AI, Large Language Models (LLMs), Computer Vision, and AI SaaS development. I have a proven track record of delivering 20+ innovative projects across Retail, Media, Sports, Security, and Healthcare, and I excel at designing scalable, cloud-native AI solutions and optimizing machine learning models for production. I am passionate about building AI-driven products that enhance user experience and business value. I work with GPT-4, LLaMA, Falcon, Cohere, Anthropic, and Claude, including fine-tuning and instruction adaptation of transformer-based models, and I leverage vector databases (Pinecone, FAISS, Weaviate) for RAG-based retrieval systems. I also have a strong background in Computer Vision (ResNet, ViT) and multimodal retrieval, and I enjoy turning complex problems into practical, scalable solutions.

MUHAMMAD AWAIS YAQOOB

I am Muhammad Awais Yaqoob, an AI/ML Engineer with over seven years of experience specializing in Generative AI, Large Language Models (LLMs), Computer Vision, and AI SaaS development. I have a proven track record of delivering 20+ innovative projects across Retail, Media, Sports, Security, and Healthcare, and I excel at designing scalable, cloud-native AI solutions and optimizing machine learning models for production. I am passionate about building AI-driven products that enhance user experience and business value. I work with GPT-4, LLaMA, Falcon, Cohere, Anthropic, and Claude, including fine-tuning and instruction adaptation of transformer-based models, and I leverage vector databases (Pinecone, FAISS, Weaviate) for RAG-based retrieval systems. I also have a strong background in Computer Vision (ResNet, ViT) and multimodal retrieval, and I enjoy turning complex problems into practical, scalable solutions.

Available to hire

I am Muhammad Awais Yaqoob, an AI/ML Engineer with over seven years of experience specializing in Generative AI, Large Language Models (LLMs), Computer Vision, and AI SaaS development. I have a proven track record of delivering 20+ innovative projects across Retail, Media, Sports, Security, and Healthcare, and I excel at designing scalable, cloud-native AI solutions and optimizing machine learning models for production.

I am passionate about building AI-driven products that enhance user experience and business value. I work with GPT-4, LLaMA, Falcon, Cohere, Anthropic, and Claude, including fine-tuning and instruction adaptation of transformer-based models, and I leverage vector databases (Pinecone, FAISS, Weaviate) for RAG-based retrieval systems. I also have a strong background in Computer Vision (ResNet, ViT) and multimodal retrieval, and I enjoy turning complex problems into practical, scalable solutions.

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Experience Level

Expert
Expert
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Language

English
Fluent
Urdu
Advanced

Work Experience

AI Lead - Remote Contractor at Nixense Vixion
March 1, 2022 - Present
Consult directly with clients on AI-driven solutions across Generative AI, LLMs, VLMs, Computer Vision, and ML. Utilize models such as GPT-4, LLaMA, LLaVA, Qwen-VL, Florence, and TransNeXt-V2 for multimodal search, keyframe extraction, and automated image/video tagging. Build and deploy hybrid retrieval systems using pgvector, FAISS, and Vespa, combining visual and textual embeddings for content discovery. Optimize AI pipelines to reduce processing time by 30% and improve model accuracy by 20% through efficient model selection, caching, and preprocessing strategies. Design cloud-native ML architectures on AWS, GCP, and Modal for scalable and cost-efficient deployment. Rapidly prototype and validate machine learning concepts to address complex business challenges across diverse domains.
Software Developer, Machine Learning & Computer Vision at Intagleo Systems
February 1, 2022 - October 24, 2025
AI-Powered Internal Chatbot for translating natural language queries into SQL to extract insights from live company data; text-to-SQL generation and automated analytical reports. Logo Enhancer API for image enhancement using ESRGAN and OpenCV; Dynamic Poster Generator for scalable marketing content; Image Resizer for Webstore Views via AWS Lambda with S3 triggers, Pillow, and CloudFront caching, improving page-load performance and visual fidelity.
AI Lead - Remote Contractor at Nixense Vixion AI
March 1, 2022 - November 18, 2025
Consult directly with clients on AI-driven solutions across Generative AI, LLMs, VLMs, Computer Vision, and Machine Learning. Utilize models such as GPT-4, LLaMA, LLaVA, Qwen-VL, Florence, and TransNeXt-V2 for multimodal search, keyframe extraction, and automated image/video tagging. Build and deploy hybrid retrieval systems using pgvector, FAISS, and Vespa, combining visual and textual embeddings for high-accuracy content discovery. Optimize AI pipelines to reduce processing time by 30% and improve model accuracy by 20% through efficient model selection, caching, and preprocessing strategies. Design robust, cloud-native ML architectures on AWS, GCP, and Modal for scalable and cost-efficient deployment. Rapid prototyping and validation to address complex business challenges.
Software Developer, Machine Learning & Computer Vision at Intagleo Systems
February 1, 2022 - February 1, 2022
AI-Powered Internal Chatbot: Built an OpenAI API–based chatbot translating natural language queries into SQL to extract insights from live company data; enabled text-to-SQL generation, executed queries, and produced automated analytical reports. Logo Enhancer API: Deployed an image super-resolution and edge-preserving enhancement pipeline (OpenCV, ESRGAN, Pillow) to restore and standardize logo quality across media. Dynamic Poster Generator: Automated generation of personalized posters from configurable templates for scalable marketing. Image Resizer for Webstore Views: Implemented an AWS Lambda service to resize and optimize product images with S3 triggers and CloudFront caching to improve page load performance.

Education

Masters in Robotics and Intelligent Machines Engineering at National University of Science and Technology (NUST), Pakistan
August 1, 2017 - May 1, 2021
BEng Electrical and Electronic Engineering at Nam al College (Associate School of the University of Bradford, UK)
August 1, 2012 - May 1, 2016
Masters in Robotics and Intelligent Machines Engineering at National University of Science and Technology (NUST), Pakistan
August 1, 2017 - May 1, 2021
BEng Electrical and Electronic Engineering at Nam al College, Pakistan (Associate School of the University of Bradford, UK)
August 1, 2012 - May 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Retail, Media & Entertainment, Healthcare, Software & Internet, Professional Services