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Schedule Interview NowMy name is Irfan H. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning Model, PyTorch, Machine Learning, Deep Learning, etc.. I hold a degree in Master's degree, Bachelor's degree. Some of the notable projects I've worked on include: Synthetic-Dataset-Generation---SinGANS-Harmonization, YOLO-TLP: Tiny and Large-scale Precision Detection, AI Surveillance Dashboard with CCTV and Action Recognition, Custom Computer Vision Solution for Retail Security Surveillance. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
1 year
1 Year
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Potentially possible
Digiware Solutions
A Unity-based automated camera system that generates synthetic datasets using a novel Solar Rotating Algorithm. The camera orbits around aircraft objects in projectile motion patterns, capturing image
Object detection has made remarkable progress in recent years, with YOLO-series models achieving state-of-the-art performance on standard benchmarks. However, a persistent challenge remains: detecting
I will design and develop a smart CCTV surveillance system that allows you to stream live feeds from multiple cameras, detect objects, and recognize suspicious activities in real time. The system will
Led shoplifting detection project for US retail stores using CCTV footage via port-forwarded camera streams. Benchmarked custom dataset against state-of-the-art algorithms: AnomalyDetectionCVPR2018, R
Master's degree in
2018-01-01-2021-01-01
Bachelor's degree in
2014-01-01-2018-01-01