hi! i'm nathan 👋
i just graduated at uc berkeley (go bears!) studying computer science & data science. my academic interests lie in machine learning and data engineering pipelines.
currently, i'm focused on scalable cloud-native architectures, designing event-driven data systems, and actively looking for new grad and full-time opportunities. beyond writing code, i'm an avid photographer capturing urban structures and natural landscapes.
in my free time, i like to go sidequesting with my camera, hit the gym to clear my head, or travel the world.
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to be continued...Data Engineer Intern
May 2025 - Aug. 2025- Engineered a real-time LLM anomaly detection pipeline that processed 100k events, enforced schema‑validated JSON, and logged full traces to S3 for replayability, enabling faster incident investigation.
- Enhanced system reliability by implementing DynamoDB idempotency keys to handle retry spikes and configuring CloudWatch alarms, cutting real-time execution failures by 50%
- Cut dashboard data retrieval time by 80% by rewriting high-cost joins, adding composite indexes, and implementing cursor pagination.
Software Engineer
Jan 2025 - Aug. 2025- Architected a mobile CI/CD pipeline using Fastlane and GitHub Actions, automating deployments to TestFlight/Google Play to cut release times from hours to minutes
- Accelerated time-to-production for data features by 50% by standardizing integration workflows and documentation between analytics and engineering teams.
- Led a three-person engineering team in migrating a Swift iOS app to Flutter and establishing architectural direction, technical milestones, and reduced maintenance effort.
Data Science Intern
Jun. 2024 - Aug. 2024- Reconstructed a real-time SAP inventory sync for 4,000+ SKUs using incremental pulls and upserts into PostgreSQL which reduced manual entry by 100% and enabled automated invoicing for all customers.
- Overhauled a legacy platform (Django REST, JWT, React) and improved performance by 75% by reducing payload size and adding server-side caching.
- Built a Docker-based CI/CD workflow to deploy ETL/ELT jobs automatically, streamlining legacy database migration and improving pipeline reliability.
Shift Manager
Sep. 2021 - Jun. 2024- Directed a team of 15+ staff members by managing end-to-end scheduling, hiring, and onboarding, fostering a collaborative and high-performing environment in a fast-paced setting.
- Evaluated and optimized front and back-of-house workflows to eliminate operational bottlenecks, directly improving service speed and team efficiency during peak volume hours.
- Spearheaded daily operations over a three-year tenure, serving as the primary escalation point for resolving complex customer concerns and enforcing consistent quality standards.
Live Semantic Market
Active (2026)An event-driven data pipeline that uses zero-shot extraction, vector search, and clustering to process financial news into deduplicated market intelligence.
Clickbait Classifier
Completed (2026)Fine-tuned a BERT-based classifier on 18K social-news titles; achieved 0.89 F1 and 91% accuracy on a held-out test set, outperforming a TF-IDF logistic regression baseline by +0.14 F1 points.
Flow
Completed (2026)Unified full-stack email and calendar mobile app utilizing AI sorting, multi-account syncing, and metadata indexing.
ItineraryAI
Completed (2026)Built a chat-based travel concierge that generates structured itineraries from a single prompt and shipped a web dashboard for trip planning (budgets, maps, calendar sync).
The IBD Digest
Completed (2025)Built an offline-first IBD companion app for 5,000+ users (recipes, ingredient libraries, SIBDQ assessment) with persistent onboarding and local state persistence.
Spotify Analytics
Completed (2025)Personal listening telemetry dashboard showing profile insights, favorite genres, and user recommendations.
SimplyMail
Completed (2024)Modern web Gmail client focused on high performance, clean visual interfaces, and secure Gmail API integrations.
University of California, Berkeley
Class of 2026GPA: 3.75
Focus: Data Engineering & Machine Learning.
Computer Science
Data Science
Engineering & Analytics
Physics
