resume

Software Engineering Intern

Beau

• Bridging the gap between client and make-up artist by developing a matching and booking system using React Native, Python, and Firebase, setting the stage for a seamless user experience and generating pre-launch interest.
• Enhanced software design, coding, and testing, accelerating feature deployment by 25% and integrated Jest for unit testing, ensuring robust and maintainable code.
• Collaborated with co-founders and engineers to ensure scalable launch readiness, focusing on robust system design and data integrity.

Software Engineering Intern

NASA

• Built and improved 10+ features for the CMS Celestial Mapping System using Java, enhancing 3D simulation accuracy and contributing to mission planning.
• Integrated the latest version of GDAL, boosting image projection accuracy by 30%, and added vector features, enhancing crater analysis by 40%.
• Developed data pipeline and algorithms for HORUS, improving lunar crater clarity by 25%, and presented the project at the NASA Better Together 2023 conference.

Software Engineering Intern

Kitu Systems

• Built Python program using regex, streamlining client-side requirement extraction for Kitu-Inverter-Client by 70%.
• Cataloged server and client-side requirements, reducing development time by 35% and enhancing team accessibility.
• Conducted TPM testing on the OnLogic Board, achieving a 95% success rate in secure key storage and file decryption.

Lead Organizer

People's Climate March

Lead organizer for the New York City branch of the People's Climate March, the largest climate march in history.

• Awarded 'Climate Hero' award by Greenpeace for my efforts organizing the march.
• Men of the year 2014 by Time magazine

Bachelors

University of California Santa Cruz

Computer Science

• GPA: 3.83
• Data Structures/Algorithms
• Object Oriented Programming
• Software Engineering
• Deep Learning
• Machine Learning
• Operating Systems
• Natural Language Processing

PlayPicks

• React | Flask | SpaCy | Firebase | Llama | Odds API | RAG
• Built a chatbot with Llama LLM, using RAG and Odd API data to deliver AI predictions, real-time odds, and tailored betting advice. Employed spaCy for conversation labeling and deployed via AWS Amplify, reaching over 100+ users.

PantryPal

• Streamlit | Flask | Pandas | NLTK | SKLearn | BeautifulSoup
• Engineered an AI model using Streamlit, Flask, Pandas, NLTK, and SKLearn to recommend recipes based on inputted ingredients, creating a user-friendly interface and enhancing user experience.

Wasteless

• 1st Place Overall | Best Use of Google Cloud | Best Golden State Hack
• Firebase | Firebase Cloud Messaging | Google Maps API | Flutter | Google Cloud
• Developed a food waste app using Firebase, Google Maps API, and Flutter, allowing users to find and collect excess food from dining halls and restaurants, reducing food waste costs by an estimated $162 billion annually.