# Nathan Dai > EECS at UC Berkeley Location: San Francisco Bay Area, United States Profile: https://flows.cv/nathandai ## Work Experience ### Software Developer @ Berkeleytime Jan 2024 – Present | Berkeley, California, United States - Worked on the semantic search team to develop and implement a feature enabling semantic search for class discovery, enhancing usability over traditional fuzzy search methods - Leveraged advanced natural language processing techniques to improve the accuracy and relevance of search results, ensuring an intuitive user experience - Contributed to the Berkeleytime codebase, a platform used by tens of thousands of UC Berkeley students for course exploration and academic planning ### Software Developer @ Godel Terminal Jan 2024 – Jan 2025 ˆ Built data-intensive UI to deliver low-latency, streaming financial data for production application ˆ Optimized application performance and reliability using memoization, virtualization, and efficient state management ˆ Reduced content download time by 50% and first contentful paint time by 16% through parallel API optimization ˆ Developed and integrated statistical analysis REST APIs for large-scale data processing ˆ Analyzed customer behavior data from Stripe and PostHog using Python to improve conversion rates ˆ Automated QA workflows by writing end-to-end and integration tests with Cypress to ensure system reliabilit ### Co-Founder and Vice President @ Machine Learning and Data Science Club Jan 2021 – Jan 2024 - KatyYouthHacks 2023 * Created EcoGuide, an AI-powered climate change education website * Scripted and edited video pitch * Acted as product manager that integrated the designs of the misinformation classifier sub-team and the carbon footprint calculator sub-team - Bio x ML Hackathon 2023 * Wrote project proposal that was accepted as one of 16 finalist teams out of over 500 teams * Built a large-language-model-based epitope classifier to expedite vaccine candidate identification * Preprocessed data for further analysis using the Pandas package for Python * Created frontend interface using Streamlit to demonstrate classifier for single amino acid sequences - Hosted a free machine-learning summer camp in 2023 for middle schoolers * Led curriculum design and wrote challenge problems * Designed sample project for students to implement * Led instruction and created a teaching schedule for other instructors - Automated Essay Grader * Used cutting-edge natural language processing techniques to score essays and give feedback * Recruited test group of students in English classes looking for essay feedback before submission ### Sales Associate @ Culture Ebikes Jan 2023 – Jan 2023 - Sold e-bikes at San Diego County Fair - Conversed with people coming by our booth and assisted them with product selection - Asked potential buyers for their contact information and made follow-up calls ### Student Aide @ Gateways Summer School Jan 2023 – Jan 2023 - Answered student questions about Photoshop and Illustrator during the Gateways graphic design class - Supervised morning traffic and lunch drop-off ### Market Research Analyst @ Sobo Foods Jan 2023 – Jan 2023 - Collected nutrition, branding, and pricing data for frozen foods in grocery stores around San Diego - Used Matplotlib to visualize relationships between key variables - Created a PowerPoint presentation that summarized insights into competitor pricing and branding ## Education ### University of California, Berkeley ### Canyon Crest Academy ### Jerome Fisher M&T Program ### Entrepreneurship/Entrepreneurial Studies LaunchX Entrepreneurship Program ### Business/Commerce in General Wharton Global Youth Program ## Contact & Social - LinkedIn: https://linkedin.com/in/nathandai5287 --- Source: https://flows.cv/nathandai JSON Resume: https://flows.cv/nathandai/resume.json Last updated: 2026-04-05