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Schedule Interview NowMy name is Muhammad Shahzeb A. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, Deep Learning, Python, Machine Learning, Deep Learning Framework, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: AI-Powered Sales & Revenue Dashboard for Government Entities, Generative AI for Business Documents, Motorola Solutions - Intelligent Chatbot & Project Automation, Advanced Veterinary Referral Management Platform, Amazon Inventory Analytics & Sales Trend Prediction Tool, etc.. I am based in Dubai, United Arab Emirates. I've successfully completed 11 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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8 years
3 Years
3 Years
3 Years
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Basesite
Developed a comprehensive dashboard for SARD DGE that consolidates sales and revenue data from various government entities. Implemented AI-driven analytics to provide real-time insights, enabling data
Developed an AI-powered platform for Docugami that transforms unstructured business documents into structured data. Utilized a proprietary Business Document Foundation Model to generate Knowledge Grap
Built a query classification system to smartly route engineer questions across docs, specs, and operational data. Consolidated fragmented info into a searchable knowledge base, improving decisions and
Built a B2B platform for Transfur to simplify and automate the veterinary referral process. The system integrates AI to standardize medical record exchanges, improving efficiency and accuracy across d
Developed a powerful tool for How Many Extensions that uncovers real-time Amazon inventory data across regions. Utilized predictive analytics to forecast sales and inventory trends, helping sellers op
Bachelor of Science (BS) in Computer science
2015-01-01-2019-01-01