Muhammad Ali Tahir

PROFESSIONAL PROFILE I am a Computer Science major with a strong academic foundation in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision, combined with practical experience building real-world AI and automation systems. I specialize in designing end-to- end workflows that integrate custom GPTs, AI model pipelines, cloud-based GPU environments, and platform APIs to automate content generation, video creation, and social media publishing at scale. My work includes configuring and optimizing AI inference environments (ComfyUI, SwarmUI, RunPod), developing script-to-video automation pipelines, and implementing reliable API-driven solutions using tools like Google Apps Script, webhooks, and YouTube APIs. I focus on production-ready systems that prioritize realism, performance, and maintainability, bridging academic AI knowledge with practical deployment and automation. EDUCATION Bachelors in Computer Science SEECS , Islamabad , 3.2 (2026) INTERNSHIP EXPERIENCE INTELGENCY IT Solutions 01-Jun-2023 - 31-Aug-2023 • Developed machine learning models for client projects and data analysis • Collaborated with the development team on AI-driven solutions • Gained hands-on experience in model deployment and optimization Nokia 01-Jul-2025 - 30-Sep-2025 AI/ML Intern - On Site Alcatel-Lucent Enterprise 01-Jul-2025 - 30-Sep-2025 Networking Intern - On Site EHS Operational Excellence 15-Jan-2026 - 01-Jan-2027 Part-Time Freelance Job Continued FINAL YEAR PROJECT Super App - Connecting Home Owners and Service Providers I am working on an app that will connect the Home Owners and Service Providers. The app will have a bidding model where Home Owners can post quick Technical Jobs like Plumber, Electrician, and other technicians, and the Service Providers can bid on these jobs and work on them. TECHNICAL EXPERTISE Artificial Intelligence & Machine Learning Strong foundation in supervised and unsupervised learning, model evaluation, and practical AI system design, backed by academic coursework and applied implementation.

I am a Computer Science major with a strong academic foundation in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision, combined with practical experience building real-world AI and automation systems. I specialize in designing end-to- end workflows that integrate custom GPTs, AI model pipelines, cloud-based GPU environments, and platform APIs to automate content generation, video creation, and social media publishing at scale. My work includes configuring and optimizing AI inference environments (ComfyUI, SwarmUI, RunPod), developing script-to-video automation pipelines, and implementing reliable API-driven solutions using tools like Google Apps Script, webhooks, and YouTube APIs. I focus on production-ready systems that prioritize realism, performance, and maintainability, bridging academic AI knowledge with practical deployment and automation.