Abdul Basit Email & Phone Number

San Francisco, California, United States

San Francisco, California, United States

Dubai, United Arab Emirates

As a Software Engineer I - Machine Learning at Careem, I have made significant contributions in the following areas:- Conducted extensive testing with multiple state-of-the-art models, including Claude, ChatGPT, and machine translation models from Facebook (e.g., M2M-100) and Google (e.g., Google Neural Machine Translation)- Developed and deployed an innovative in-house translation solution utilizing Large Language Models (LLMs), enhancing translation accuracy by 10% and increasing output efficiency by 97% compared to existing systems- Localized content from English to Arabic, significantly improving grammatical accuracy and preserving the integrity of intended meanings- Optimized the accuracy and scalability of translation services by incorporating continuous human feedback and ensuring translation accuracy across various domains- Honed expertise in LLM and Langchain, adapting and refining solutions and architecture to meet stakeholder needs- Developed an AI evaluator to assess the quality and accuracy of AI-translated text, enabling data-driven improvements to the translation pipelineThese projects demonstrate my strong skills in machine learning, particularly in the areas of large language models, natural language processing, and translation systems.

As a Machine Learning Research Associate, I have worked on the following projects:- Developed a novel colored point cloud upsampling method that utilizes multi-scale spatial attention to enhance the quality and resolution of point cloud data- Created effective visualizations of point clouds and 3D meshes to improve data representation and analysisThese projects demonstrate my expertise in machine learning, particularly in the areas of point cloud processing and 3D data visualization.

Lahore, Punjab, Pakistan

As a Machine Learning Research Assistant, I worked on the following projects:- Developed a novel architecture for camera pose estimation to improve accuracy and robustness- Optimized structure from motion pipelines to enhance efficiency and scalability- Investigated multi-view stereo and reconstruction techniques to improve 3D scene understanding- Explored Neural Radiance Fields (NeRFs) beyond the limits of COLMAP to push the boundaries of novel view synthesis and 3D reconstructionThese projects demonstrate my expertise in computer vision, particularly in the areas of camera pose estimation, structure from motion, multi-view stereo, and neural radiance fields.

Master Of Science - Ms, Computer Science

Bachelor'S Degree, Computer Science