- Utilized Java React, Spring boot and Java React with a team of 10 students to implement an end to end experiment facilitating software revolving around nanotechnology; under the supervision of Dr. Waqas Khalid- Managed 3 teams of 1-3 UC Berkeley Students revolving around the development of a front end website/data analytics, multilayered Java backend and databases respectively.- Utilized React.JS, Java, JavaScript and Spring Boot to develop a website that takes scientific information from a React website, communicates with the Java backend through SpringBoot’s websockets and runs experiments on custom boards.-Created guides and trained new students to develop in React, and team procedures.

- Utilized JavaScript, Java React, HTML and CSS with a team of 10 students to implement parameter validation and develop the front end website of a handheld device that detects Covid - 19 in 3 minutes; under the supervision of Dr. Waqas Khalid

- Utilized JavaScript to implement priority excel functions using efficient algorithms for fast searching such as binary search.- Wrote comparison functions to calculate the magnitude difference between strings their and allows for Regex characters.- Functions include but are not limited to XLOOKUP, FILTER, OFFSET.- Designed testing architecture for ease of use and allows for more generalizable testing methodologies.

- Tutored students enrolled in UC Berkeley’s discrete mathematics and probability theory course-Taught topics like Markova chains, RSA, statistical distributions and propositional logic

- Taught as an Academic Intern for UC Berkeley's CS70 (Discrete Mathematics and Probability Theory) and CS61B (Data Structures) classes.- Taught topic in discrete mathematics and probability theory to Berkeley students, including but not limited to: Markov Chains, continuous probability, graph theory, and RSA.- Taught students in the fundamental topics, including but not limited to data structures, programming methodologies and git.

- Designed and taught a 5 week curriculum revolving the applications of R to a group of 24 students. Topics include but are not limited to machine learning techniques like K nearest neighbors, clustering, support vector machine and decision trees.

- Developed a website to document and promote FinsInbins’ achievements, contact information, and collaborations.- Filed for C-Corporation status, wrote bi-laws and continuously updated inventory utilizing Microsoft Office Suite.- Organized multiple equipment drives to donate 300+ pieces of swim equipment to Beyond Barriers Athletic Foundation and various local swim organizations in California.- Sponsored Bay Area Kids Triathlon Series races for multiple years