Talha F.
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Profile:
Talha is a highly skilled research engineer specializing in computer vision and deep learning. With a strong academic foundation from MIT in mechanical engineering and advanced research experience at Carnegie Mellon University, Talha has made significant contributions to the field of computer vision. His work at Meta focuses on building end-to-end video ground-truth pipelines and enhancing AI-driven visual systems. Talha's expertise in simultaneous localization and mapping (SLAM), deep learning, and computer vision makes him a valuable mentor for those interested in cutting-edge AI and robotics technologies.
Computer Vision
Deep Learning
Simultaneous Localization and Mapping (SLAM)
Artificial Intelligence
Academic Background:
Master of Science in Mechanical Engineering (and Computer Science), Carnegie Mellon University
- Specialized in AI-driven robotics and automation.
- Contributed to projects that combined mechanical engineering and computer science to create autonomous systems.
V.S. in Mechanical Engineering, Massachusetts Institute of Technology (MIT)
- Graduated with a focus on robotics and control systems.
- Developed foundational knowledge in engineering that informs his current work in AI and computer vision.
Professional Experience:
Research Engineer, Computer Vision @ Meta
- Leading the development of video ground-truth pipelines for Meta’s AI-driven visual systems.
- Collaborating with cross-functional teams to enhance the capabilities of computer vision technologies.
Research Engineer @ Samsung Research
- Developed advanced computer vision algorithms for consumer electronics and mobile devices.
- Worked on enhancing the visual intelligence of next-generation Samsung products through AI and deep learning.
Teaching Assistant, Carnegie Mellon University
- Assisted in courses related to deep learning and computer vision, mentoring students and guiding them through complex topics.
- Played a key role in facilitating hands-on learning experiences for students in AI and robotics.