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Schedule Interview NowMy name is Ahmed S. and I have over 9 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Computer Vision, Large Language Model, Generative AI, etc.. I hold a degree in Bachelor of Engineering (BEng), Master's degree. Some of the notable projects I've worked on include: AWS-Powered Facial Recognition Web Application, AI Visibility Analyzer (https://www.visibilityreport.ai/), AI-Powered Survey Platform for Personalized Customer Feedback, AI Advertisement Content Classification System, AI-Powered Influencer & Market Intelligence System, etc.. I am based in Toronto, Canada. I've successfully completed 15 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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9 years
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Athena AI
Developed an end-to-end, serverless facial-recognition web app enabling secure user onboarding and identity verification. Built a React.js frontend with real-time camera capture (WebRTC) connected to
Developed a full-stack AI visibility reporting system for a marketing agency, enabling local service businesses to see how they rank across AI platforms like ChatGPT, Gemini, Grok, Perplexity, and Cl
A leading transportation and customer service provider needed a smarter way to collect passenger feedback. Standard surveys were long, generic, and hard to scale. The client wanted shorter, more relev
Developed an AI-powered system to classify advertisement content into storytelling vs. live coverage using a multi-modal pipeline (video + audio + ML). Implemented YOLOv8 for video analysis, Whisper +
A media strategist needed a faster way to track influencer activity, industry news, and trending keywords for content planning. Manual monitoring was slow and often missed key signals. We built a thr
Bachelor of Engineering (BEng) in Electrical engineering
2018-01-01-2022-01-01
Master's degree in Data Science
2023-01-01-2025-01-01