Ibrahim Saeed Email & Phone Number

New York, United States

Leading Purdue Team that works with Google’s Tensorflow Model Garden Team on experiments to build and improve low-power computer vision models YOLOX-Tiny, YOLOX-nano and MobileNetV3.

• Improved Graph Link Prediction model SEAL speed performance by 70% in Pytorch with ~0.29 accuracy (HITS@20)on the OGB-ddi dataset.
• Experimented using different machine learning models, papers and techniques (k-hop neighbours, adamic adar,labelling) and wrote 5 reports detailing how I improved SEAL.
• Technology: Pytorch, Python, cProfile, Jupyter Notebooks

Mountain View, California, United States

• Redesigned and Built a machine learning privacy pipeline from scratch using C++ and Flume, used for processing terabytes of training data.
• Completed entire development process for constructing a pipeline, including writing a design document,under-going design review, writing unit/integration tests, going though code reviews and launching internally.
• Deepened knowledge in parallelism with Flume, best practices for designing and writing integration tests for large-scale pipelines.
• Technology: C++, Flume

United States

• Utilized ChartJs to show Growth Degree graphs using up-to-date weather data
• Wrote Dexie queries and manipulations to manage farmer’s field data in indexedDB
• Designed and created forms and reusable components in Svelte-kit

• Developed Python script and Bash Shell script to filter out irrelevant features which lead to a ~99% reduction in the resulting file’s size, ~99% reduction in irrelevant data and improved process to save 5 hours a week.
• Constructed data-processing pipeline in Flume (Java) to convert between different Google Maps Protobufs
• Completed entire development process, including writing two design docs and usage documentation, implementation, writing unit tests (Junit4 and Mockito), going through code reviews and launching internally.
• Eliminated technical debt by solving bugs during Bug Bash and implementing two feature requests for user.

• Created a responsive full stack AI-powered (GPT-3) data analytics startup recognized, mentored and funded by Microsoft For Startups that had over 10 active companies/clients during BETA access.
• Implemented 60% of UI (Forms, Dashboards, Graphs) with React and Tailwind CSS.
• Built backend endpoints using Flask and NoSQL database Firestore.