● Conducted research on constrained near-neighbor search algorithms, with application to constrained product search in e-commerce.● Used industry-standard packages (FAISS, NumPy, MurmurHash) to perform algorithm research.● Implemented and evaluated state-of-the-art near neighbor algorithms on standard benchmark datasets (SIFT, MNIST, etc).● Observed KNN algorithms in different scenarios with an exponential property database and visualizations through Matplotlib.● Created state-of-the-art large-scale genomic search in Python and C++

● Analyzed the curriculum and summarized concepts to teach the students who needed help.● Debugged code and helped students optimize their code and add syntax.● Discussed with instructors the logistics of the class and how to better help students and grade the assignments.

● Learned how to use JSX and GraphQL and develop an API through a 4-week curriculum.● Collaborated with other programmers to create an E-Commerce website where users browse for items and add them to their cart.● Worked together to design and encode the item components and the Main Page using HTML, CSS, React, and MongoDB.