Summary
Anique Akhtar is a Senior Engineer in San Diego with a decade of experience applying deep learning to 3D point cloud and computer vision problems across industry leaders including Qualcomm, Tencent America, and HERE Technologies. She holds advanced doctoral training in electrical and communications engineering and has led research-to-production work on point cloud compression, upsampling, denoising, and semantic segmentation for large-scale LiDAR and video-based pipelines. Known for tackling scalability and annotation challenges, she bridges rigorous academic research (Google Scholar profile) with practical product-focused solutions at scale. Her work uniquely spans both intra- and inter-frame compression techniques and artifact removal, reflecting a rare combination of signal-processing depth and applied ML engineering.
10 years of coding experience
1 year of employment as a software developer
High School, High School at Sadiq Public School Bahwalpur
Doctor of Philosophy - PhD, 4.0, Doctor of Philosophy - PhD, 4.0 at University of Missouri-Kansas City
Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering at University of South Florida
Master’s Degree, Electrical, Electronics and Communications Engineering, Master’s Degree, Electrical, Electronics and Communications Engineering at Koç Üniversitesi
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Lahore University of Management Sciences
English, Urdu