C:\nathan\portfolio\home.md
STATUS: Seeking 2026 New Grad & Full-Time Roles

hi! i'm nathan 👋

i just graduated at uc berkeley (go bears!) studying data science & computer 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.

last updated on september 16, 2026. built with care.
Nathan Liu Profile Picture
education
academics.doc

University of California, Berkeley

Class of 2026
Bachelor of Arts in Data Science (Applied Math) & Computer Science

GPA: 3.75

Focus: Data Engineering & Machine Learning.

Computer Science

CS 161 CS 162 CS 170 CS 186 CS 188 CS 189 CS 198

Data Science

DATA 8 DATA 100 DATA C101 DATA C104 DATA 140

Engineering & Analytics

EECS 127 INFO 159 IEOR 162

Physics

PHYSICS 7A PHYSICS 7B PHYSICS 7C
experience
experience.txt

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to be continued...
Actively interviewing for Data Engineering & SWE roles.

Data Engineer Intern

May 2025 - Aug. 2025
Carbon Sustain • Berkeley, CA
  • Engineered a real-time event-processing pipeline handling 100K+ events/day, adding schema validation and S3 execution traces to support deterministic replay and faster incident debugging.
  • Enhanced system reliability by implementing DynamoDB idempotency keys to handle retry spikes and configuring CloudWatch alarms, cutting real-time execution failures by 62%.
  • Analyzed catering and digital-media footprint data to identify decarbonization opportunities representing up to 76% of modeled event emissions

Software Engineer

Jan. 2025 - May 2025
UnifIBD • Remote (San Jose, CA)
  • Reduced time-to-production for data features by half by standardizing analytics-to-engineering integration workflows and implementation handoffs
  • Removed manual mobile releases to TestFlight and Google Play with Fastlane and GitHub Actions, reducing deployment time from hours to minutes
  • Led a three-engineer migration of a Swift iOS application to Flutter, defining the architecture and technical milestones while consolidating platform-specific code into a shared codebase.

Data Science Intern

Jun. 2024 - Aug. 2024
L.A. Lucky Import & Export Inc. • Los Angeles, CA
  • Developed statistical forecasting pipelines and inventory anomaly detection across 4,000+ SKUs, identifying seasonal surges to improve supply chain and reduce inventory shrinkage by 60%.
  • Reduced API response latency by 78% by minimizing response payloads and introducing server-side caching for frequently accessed inventory data.
  • Reconstructed a real-time SAP inventory sync using incremental pulls and upserts into PostgreSQL which reduced manual processing substantially and enabled automated invoicing for all customers

Shift Manager

Sep. 2021 - Jun. 2024
Happy Lemon • Danville, CA
  • 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.
projects
projects.bat

CardboardDex

Active (2026)

A full-stack trading card market platform that pairs canonical catalog data and market prices from multiple API sources to deliver real-time price trends, arbitrage analytics, and investment signals.

JavaScript Python PostgreSQL Celery Fast APIs

Live Semantic Market

Completed (2026)

An event-driven data pipeline that uses zero-shot extraction, vector search, and clustering to process financial news into deduplicated market intelligence.

JavaScript Python Fast APIs React

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.

Python PyTorch Pandas

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).

Python LangChain FastAPI JavaScript

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.

Flutter Dart Provider

Spotify Analytics

Completed (2025)

Personal listening telemetry dashboard showing profile insights, favorite genres, and user recommendations.

Python Flask Spotify API Pandas

SimplyMail

Completed (2024)

Modern web Gmail client focused on high performance, clean visual interfaces, and secure Gmail API integrations.

JavaScript Firebase Gmail API

Pokédex API

Completed (2024)

Fast cached Express middleware client providing interactive Pokemon lookups and type analytics.

TypeScript Express PokeAPI
skills
skills.cfg
Languages
Python SQL JavaScript TypeScript C / C++ Java HTML/CSS Dart
Data & AI
PyTorch pandas NumPy Scikit-Learn LangChain Hugging Face PySpark Matplotlib
Data Systems
PostgreSQL DynamoDB SQLite MongoDB ETL / ELT RESTful APIs Apache Spark
Cloud & Infra
AWS CF Workers Cloudflare R2 Docker Git CI/CD
Frameworks
React FastAPI Django Node.js Express.js Socket.IO Flutter Linux / Bash
Featured Photo
Landscape Photo
Urban Photo
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