Mahnoor Faisal

Delivered automation and embedded solutions, reducing project timelines by 15%. Developed 3D CAD models, automated security systems, and industrial designs for global clients. Designed AI-driven mechatronics applications, integrating predictive analytics for fault detection.

Mentored beginner Python students through weekly live sessions and code reviews. Collaborated with Stanford instructors and 900+ global volunteer teachers to deliver quality technical education. Enhanced leadership, public speaking, and cross-cultural communication skills in a virtual environment.

Built predictive models for restaurant management, email spam detection, and price forecasting. Optimized machine learning models using Hyper-Parameter Tuning & Grid Search. Conducted data analysis, algorithm optimization to enhance system performance and AI automation.

Developed automation tools for web scraping and data extraction using Python & Selenium. Created Python-based SEO solutions, enhancing link generation efficiency by 30%. Implemented data-driven insights for industrial automation, improving operational efficiency.

Conducted workshops on leadership, technical skills, and community engagement. Built strategic partnerships and managed student recruitment and mentoring programs. Led STEM outreach programs, promoting women in engineering and AI research.

Led 150+ research teams, initiating the first Research & Publication Division at Air University. Organized technical workshops, industry partnerships, and automation competitions. Developed collaborations with leading tech companies for research initiatives.

Designed a low-cost, portable ventilator with 10-hour battery backup for remote areas. Reduced production costs by 90%, securing a Finalist Position in FICS Competition. Integrated IOT-based remote monitoring for real-time patient data collection.

Designed a convertible electric vehicle kit, improving energy efficiency by 30%. Conducted data analysis to optimize energy consumption, boosting production efficiency by 20%. Led automation and AI integration for predictive maintenance in EV systems.

Conducted market research on electric vehicle advancements, reducing production costs by 20%. Implemented digital workflow solutions, cutting paperwork by 75% and R&D expenses by 73%. Developed smart charging solutions and automation frameworks for EV infrastructure.

Grade: 3.92/4.00

Currently pursuing a Master’s in Design and Manufacturing Engineering, focusing on advanced concepts and applications. Maintaining a strong academic record with a CGPA of 3.92/4.00.

Completed a Bachelor’s in Mechatronics Engineering, gaining foundational knowledge in automation, robotics, and embedded systems. Engaged in various projects and coursework related to the field.