Mlbench

Chief Executive Officer

ML Bench • Fulltime

Jul 2025 - Present • 1 yr 2 mos

ML Bench is a high-end software development and implementation company based in Pakistan. We are working with our clients across the globe (including UAE, USA, Europe, Australia, and Asia) to pursue their Digital Transformation goals through smart Software Development. We are expertise in Custom Apps Development (mobile, web, and desktop), UI/UX, HTML, CSS, Bootstrap, PHP, Laravel, Codeigniter, NoteJS, Swift, Java, Kotlin, XML, Server integration, JavaScript, SEO, ASO, MongoDB, WordPress, WooCommerce and Shopify. ML Bench also services in the field of artificial intelligence (AI) advisory and provides machine learning and AI based innovative technological solutions to the business problems. The highly skilful team of ML Branch works closely with its customers to translate their data into tangible benefits through discovered insights and learned models with excellence delivered for over 5 years.

AI/ML Engineer

Bellaria Technology GmbH • Parttime

Jun 2025 - Present • 1 yr 3 mos

• Developed and deployed machine learning models for projects like predictive analytics, computer vision, and NLP. • Designed data pipelines, preprocessing routines, and feature engineering workflows for large datasets. • Conducted model evaluation, hyperparameter tuning, and performance optimization. • Worked on AI integration with business processes to enhance decision-making and automation. • Collaborated with software engineers and stakeholders to deploy models in production environments.

Computer Vision Engineer

innate

Oct 2024 - Present • 1 yr 11 mos

- Developed cutting-edge computer vision algorithms for object detection, image segmentation, and real-time video processing on TensorFlow, PyTorch, and OpenCV. - Implemented scalable models into production, enhancing accuracy and efficiency for AI-based applications in autonomous systems and facial recognition. - Improved deep learning workflows on AWS and Azure, taking advantage of cloud computing for easy model integration and performance.