resume

Machine Learning Intern

UXLY

• Built a full-stack e-commerce chatbot using FastAPI, React, and Supabase with authenticated user sessions, supporting both guest product search and authenticated cart/order management.
• Implemented BM25-based product search engine with custom tokenization and dimensional filtering (weight, length, width), achieving 95% search accuracy and supporting product SKUs.
• Developed LangGraph React agent framework with specialized e-commerce tools, enabling seamless cart management, order processing, and product URL generation with variant parameter handling, reducing customer support queries by 60%.

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

• Implemented and enhanced 10+ features for the CMS Celestial Mapping System using Java, improving 3D simulation accuracy and supporting mission planning initiatives.
• Automated HORUS AI georeferencing, integrating Permanently Shadowed Region (PSR) imagery into CMS, improving coordinate accuracy by 40% and crater clarity by 25%.
• Presented CMS at NASA Better Together 2023, showcasing high-resolution lunar mapping, AI-enhanced imagery, and vector-based crater analysis, aiding mission planners and researchers.

Software Engineering Intern

Kitu Systems

• Created a Python program using regex to automate requirement extraction for Kitu-Inverter-Client, improving efficiency by 70% and reducing development time by 35%.
• Conducted TPM testing on the OnLogic Board, achieving a 95% success rate in secure key storage and file decryption while improving team accessibility.

Masters

Georgia Institute of Technology

Computer Science and Machine Learning

Bachelors

University of California Santa Cruz

Computer Science and Mathematics Minor

• GPA: 3.84
• 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 an AI-powered sports betting chatbot using LlamaIndex (RAG) and GPT-4 for real-time odds, AI predictions, and personalized insights.
• Integrated spaCy for NLP, Firebase for data management, and Odds API for real-time sports data, deploying via AWS Amplify to reach 100+ users.

PantryPal

• Streamlit | Flask | Pandas | NLTK | SKLearn | BeautifulSoup
• Engineered an AI-powered recipe recommendation tool, using Streamlit for an interactive UI and Flask for backend processing.
• Built a machine learning model using scikit-learn and NLTK, leveraging BeautifulSoup for web-scraped recipe data to enhance recipe recommendations based on user-inputted ingredients.

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.