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Muhammad Ahmer S. AI, Machine Learning and Generative AI Platforms

My name is Muhammad Ahmer S. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, Computer Vision, Machine Learning, Deep Learning, PyTorch, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Cinematic Shot Selector for Filmmakers & Editors, Any-to-Any Multimodal Semantic Search Engine, Shelfr, AI Video Generation Solutions with Wan2.1, Hunyuan, and LTXVideo, Biscuit AI, etc.. I am based in Lahore, Pakistan. I've successfully completed 13 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • AI, Machine Learning and Generative AI Platforms

    10 years

  • Natural Language Processing

    2 Years

  • Computer Vision

    5 Years

  • Machine Learning

    5 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Nixense Vixion

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Experience Highlights

Cinematic Shot Selector for Filmmakers & Editors

Developed an AI pipeline to automatically select the most visually appealing and contextually important frames from movies. Combined scene segmentation, CLIP-based aesthetic scoring, and DINOv2 visual

Any-to-Any Multimodal Semantic Search Engine

Built a proprietary AI-powered semantic search engine enabling Any-to-Any multimodal retrieval across text, images, audio, and video. Created unified embeddings using LLaVA/Qwen VLMs for accurate cros

Shelfr | A Reality with AI, Store Intelligence for Global CPG Brands

Developed Shelfr, an AI-powered retail execution and shelf intelligence platform using computer vision, deep learning, and image recognition to monitor shelf performance at scale. Built product dete

AI Video Generation Solutions with Wan2.1, Hunyuan, and LTXVideo

I specialize in developing AI-powered video generation solutions utilizing models like Wan2.1, Hunyuan, and LTXVideo. Whether you need to create high-quality videos from text prompts or images, I can

Biscuit AI | Blending Voice, Vision, and LLMs for Retail

Built Biscuit AI, a retail-focused AI agent platform combining Conversational AI, Computer Vision, and multimodal interfaces. Developed intelligent in-store assistants using LLMs and CV to understan

Education

  • University of Bradford

    Bachelor of Engineering (BEng) in Electrical & Electronic Engineering

    2011-01-01-2015-01-01

Languages

  • English (Fluent)✓