AI Engineer & Researcher Computer Vision Generative Ai .

Engineered and delivered comprehensive computer vision solutions, optimizing workflows from data processing to deployment and cutting time-to-production by 40%.

Optimized advanced AI models using custom approaches and performance enhancement techniques, improving accuracy by 35% and processing efficiency by 60% while reducing inference time by over 50%.

Managed end-to-end data lifecycle for AI initiatives, including collection, cleaning, organization, augmentation, normalization, and feature engineering, processing millions of data points monthly while maintaining high-quality standards.

Built and maintained AI development and production infrastructure, deploying models and establishing scalable frameworks capable of handling high-volume operations with near-perfect reliability.

Managed a team of 4+ engineers to deliver AI-driven solutions, improving operational efficiency by over 30% and generating substantial annual cost savings.

Established rigorous testing protocols for AI performance validation, implementing security, fairness, and explainability standards while maintaining ethical AI development practices across 5+ production models with zero compliance violations.

Developed AI-powered dashboards and integrated vision models with BI systems, translating advanced AI capabilities into actionable insights for executives and users, increasing adoption of data-driven decisions.

Implemented continuous improvement processes through proactive troubleshooting, strategic model retraining, and systematic updates, achieving 95% model performance retention over months and reducing maintenance costs by 30%.

As a Executive member of SparkEd, a prestigious youth-focused AI education initiative sponsored by esteemed organizations including IREX, U.S. Department of State (USA), Global UGRAD Pakistan, and Pakistan-U.S. Alumni Network, I contribute to empowering young minds with essential skills to thrive in a rapidly evolving technological world.

As an AI Trainer, I introduce school-level students to the fascinating world of artificial intelligence, logic-building, and critical thinking through dynamic workshops and hands-on activities. I design interactive, age-appropriate learning experiences using tools like Google Teachable Machine, Microsoft Lobe, and Scratch programming, enabling students to build, test, and understand AI models during sessions. My approach combines storytelling, multimedia presentations, and engaging challenges that inspire curiosity and prepare students for tomorrow's technological landscape.

As a Graphic Designer, I create visually engaging content including social media posts, Instagram stories, educational infographics, and exhibition graphics that amplify SparkEd's vision and strengthen community connection. I develop comprehensive visual content strategies that enhance brand recognition and showcase our educational impact both locally and internationally.

I also maintain the official program website on AWS EC2 infrastructure, ensuring timely updates with workshop schedules, educational materials, and resources. Through professional documentation via photography and videography, I capture program activities for outreach initiatives and training materials.

As part of our team backed by prestigious global initiatives, we're driving innovation and fostering leadership among Pakistan's youth, shaping a brighter future through creativity and building tomorrow's leaders.

Developed end-to-end computer vision pipelines from scratch, handling live data streams and big data processing with GPU optimization techniques including efficient sampling, batching, and multi-GPU utilization. Produced state-of-the-art vehicle re-identification model outperforming top ReID benchmarks through custom loss functions, hyperparameter tuning, and architecture optimization.

Engineered large-scale datasets including confidential research data from global professors, implementing data annotation workflows and custom datasets with augmentation techniques. Expertise spans advanced CNN architectures with attention mechanisms, solving complex mathematical problems in CV design, and developing high-inference systems for edge devices.

Showcased Makerspace products at Future Fest 2025 and Sundar Expo, delivering AI-powered enterprise solutions while presenting research to top industry experts. Designed graphic materials for technology expositions and won AI competitions, demonstrating innovative problem-solving in challenging environments.

Mentored junior researchers on re-identification and diverse CV topics including object detection, metric learning, and attention mechanisms. Gained expertise in hardware ecosystems including drones, cameras, sensors, and 3D printing technology while mastering networking protocols and edge/cloud deployment strategies.

Utilized high-performance computing lab resources to implement dedicated CV architectures and gained hands-on experience with electrical engineering components for hardware integration. Advanced work included 3D mesh point cloud reconstruction for virtual try-on technology, containerization deployment, and computer architecture implications for CV applications.

Enhanced research capabilities under PhD advisor mentorship, developing entrepreneurship knowledge and technical communication abilities through presentations to AI industry leaders and research communities.

Developed production-grade computer vision applications including object counting systems, student monitoring platforms, OCR license plate recognition, and site safety monitoring, processing thousands of daily transactions with 95%+ accuracy.

Built sophisticated AI chatbots for call centers and e-commerce platforms, leveraging graph database-powered retrieval and integrating with BI reporting systems to reduce customer response time by 65% and increase satisfaction scores by 40%, enabling faster, more intelligent interactions for enterprise clients.

Developed end-to-end e-commerce solutions—from product browsing to secure payment processing supporting millions in annual transactions while maintaining near-perfect uptime.

Produced multimedia marketing assets including corporate videos, exhibition displays, and social media content, increasing brand engagement by 75% and generating 500K+ impressions quarterly.

Enhanced enterprise web portals through comprehensive testing and CRM improvements, reducing system bugs by 80% and improving user experience scores by 35%.

Led cross-team collaboration on product development initiatives, coordinating with 3+ departments to ensure technical deliverables align with strategic business objectives

Maintained quality standards across all technical deliverables, achieving 98% client satisfaction and zero critical system failures over months.

Designed and maintained comprehensive Django enterprise management platform integrating HR operations, client management, and staff workflows, serving employees and reducing administrative overhead by 45%.

Developed complete recruitment and workforce management system including task management, attendance tracking, and termination processes, streamlining HR operations for hiring cycles annually with 80% process efficiency gain.

Built Django-powered hospital website presenting complex brain segmentation results in accessible formats for medical stakeholders, improving clinician decision-making time by 35% and serving hundreds of healthcare professionals.

Implemented prototyping and validation methodology for internal and client projects, reducing development cycles by 30% and achieving high client approval on first iteration across multiple projects.

Created strategic brand visibility campaigns through corporate video production, exhibition materials, and targeted social media content, increasing brand engagement by 80% and generating 500K+ quarterly impressions on multiple platforms.

Orchestrated seamless technical-business integration across cross-functional teams, ensuring 100% alignment between technical deliverables and business objectives while maintaining on-time project delivery.

Maintained high platform reliability across enterprise systems, supporting millions in annual business operations and serving thousands of daily active users with near-perfect uptime.