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Schedule Interview NowMy name is Daniyal Ahmad K. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Machine Learning, Deep Learning, Data Science, Keras, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: AI Visibility Analyzer for PlumberSEO, AI-Powered Survey Platform for Personalized Customer Feedback, AnglerVision – AI-Powered Sports Fishing Technology, Rebuilding Mirror Vision: AI-Powered Golf Coaching iOS Application, Gender Based Advertisement, etc.. I am based in Lahore, Pakistan. I've successfully completed 8 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.
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AthenaAI
Developed a full-stack AI visibility reporting system for PlumberSEO, enabling local service businesses to see how they rank across AI platforms like ChatGPT, Gemini, Grok, Perplexity, and Claude. Bui
A leading transportation and customer service provider needed a smarter way to collect passenger feedback. Traditional surveys were long, generic, and difficult to scale. The goal was to create adapti
AnglerVision’s Aqua app is an AI-powered sports fishing platform that uses real-time video analytics for fish detection. The system struggled with false positives, rigid pipelines, and memory crashes.
We fully rebuilt Mirror Vision’s iOS golf coaching app to resolve UX, performance, and feature gaps. The new version delivered a clean Figma-designed interface, real-time device pairing via Multipeer
This project delivers a robust real-time gender and age detection system optimized for the Jetson Nano platform. Utilizing dlib for facial feature extraction, the application accurately classifies gen
Bachelor of Science (BS) in Computer science
2018-01-01-2022-01-01