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Major: Electrical Engineering and Computer SciencesMinor: Data ScienceOrganizations: Formula Electric at Berkeley, Computer Science Mentors, Berkeley Mobile, DevOps at BerkeleyCourses: The Structure and Interpretation of Computer Programs, Linear Algebra, Data Structures, Information Systems Design, Multivariable Calculus, Discrete Mathematics and Probability Theory, Computer Architecture, Computer Security, Data Science Foundations, Algorithms, Data Science Principles…
            

    
    

    
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University of California, Berkeley

Courses:CS 10: Intro to Computer ScienceCS 10B: Intermediate Computer ScienceECON 1: MacroeconomicsPOLS 1: American Government

Santa Rosa Junior College

Graduated with Summa Cum Laude Honors, 4.0/4.0 Unweighted GPA, 4.8/5.0 Weighted GPA.

Maria Carrillo High School

Software Engineer

As part of the CricketML research group, developing a novel score revision system for rain-affected cricket matches by constructing a model to predict the evolution of sequentially repeated, multi-metric settings using Multi-dimensional Robust Synthetic Control (mRSC) alongside MIT and Columbia researchers.

Student Researcher

Software Engineer Intern

On the Spend Budgets Experience Team
Designed, developed, and deployed a highly scalable solution that enables customers to customize notification settings for events such as budget expiry, expiring soon, termination, changes to budget, and budget limit exceeded on the individual budget level for each budget they're a part of. Impacting more than 3,000 monthly active users upon launch and projected to impact 6,000+ by end of quarter with expansion of Budgets product.
Designed in Figma and Retool, wrote technical design doc, and developed the full-stack product in Kotlin (backend), gRPC (microservices), proto3 (protocol buffers), SQL (queries), GraphQL (APIs), and ReactJS/Typescript (frontend)

Worked on the Precise Recommendations Squad (ML Product)
• Developed a “Popular in Cities Like Yours” recommendation module with BigQuery, Scala, and PHP from scratch and deployed it as a live experiment on the Similar Listings page of over 87 million listings on Etsy, results pending
• Ideated, constructed, and ran feature-based clustering queries to identify and group cities with similar purchasing patterns and wrote API endpoints to connect the data to the front-end and provide relevant recommendations

Developing course projects and software as part of the Berkeley Educators Engineering Software (BEES) team for CS 61A, a CS introductory course at UC Berkeley.

CS 61A Software Developer

Responsible for reviewing weekly content with lab sections for CS 61B (Data Structures) and nurturing students’ problem-solving skills through helpful guidance on lab problems and key concepts.

CS 61B Academic Intern

Responsible for reviewing weekly content with lab sections for CS 61A (Structure and Interpretation of Computer Programs) and nurturing students’ problem-solving skills through helpful guidance on lab problems and key concepts.

CS 61A Academic Intern

Conducted research with Professor Clair Brown, CoolClimate Network, and EcoDataLab.
The purpose of this project was to synthesize existing U.S. datasets on climate change, greenhouse gas (GHG) emissions, GHG drivers, household carbon footprints, climate action planning, climate impacts, adaptation, pollution, environmental justice, and individual organizational behavior into a single, data-driven climate action portal called EcoDataLab for U.S. cities and communities.
As a member of the Carbon Coders team, I will be creating interactive data visualizations for the online portal using React.js, building progressive web applications to track carbon footprints over time, and updating APIs to increase efficiency and minimize bandwidth limitations.

Undergraduate Researcher

• Worked under the Keysight Aerospace Defense and Government Solutions branch with the FieldFox Software R&D Team
• Designed, built, and tested an interactive MERN stack application that enables clients to easily create custom, personalized scripts executable on members of the handheld FieldFox multi-function analyzer product family.
• Condensed the pedantic process of Lua scripting into a scalable, cross-platform drag-and-drop interface with SCPI programming blocks that is projected to impact 20,000+ customers and boost product revenue by 5-10%.

Attended workshops and panels at Facebook HQ in Menlo Park, CA

High School Preview Day Attendee

• Built an efficient automated calibration system with Python to expedite network and firmware anomaly detection
• Automated audio recognition and classification based on frequency and amplitude with C++ for spectrum analysis systems as part of an effort to remodel and streamline existing software to execute new tasks

Tech Intern

• Designed a ‘Trail Locator’ website page and contributed to its development using WordPress and Google APIs 
• Headed a project to design a management app catering to the recreation industry to simplify event scheduling