Projects

A portfolio of quantitative trading systems, machine learning models, and fullstack applications that demonstrate professional-grade engineering and measurable impact.

Independent Projects

Breakout Study Tool

Next.js, TypeScript, React, Python, PostgreSQL

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Built a Duolingo-style platform to learn a breakout stock-trading strategy with real charts and simulations. Shipped a production product used by 200+ traders through iteration with Reddit and X.com communities.

Key Highlights

  • ▸Built a Duolingo-style platform to learn a breakout stock-trading strategy with real charts and simulations
  • ▸Shipped a production product used by 200+ traders through iteration with Reddit and X.com communities
  • ▸Engineered interactive React/Next.js charting and drill flows with sub-80ms interactions
  • ▸Developed Python pipelines to ingest and normalize large-scale market data
  • ▸Designed analytics to track accuracy, performance metrics, and study behavior
  • ▸Implemented secure auth, rate-limited APIs, and CI/CD with >99% uptime
Next.jsTypeScriptReactPythonPostgreSQLCI/CDTradingFull-Stack

Cat vs Dog Image Classifier

TensorFlow, Machine Learning

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Built and tuned a TensorFlow CNN on a large image dataset, handling preprocessing, train/validation/test splits, and hyperparameter tuning.

Key Highlights

  • ▸Built and tuned a TensorFlow CNN on a large image dataset
  • ▸Handled preprocessing, train/validation/test splits, and hyperparameter tuning
  • ▸Applied machine learning best practices for image classification
TensorFlowCNNMachine LearningComputer VisionImage Classification

Academic Projects

LLM Energy Benchmark

Initiated and built a benchmark to study how prompt features affect LLM energy use and performance. Processed 1M+ chats and 20k+ measurements independently, engineering 30+ linguistic features with CodeCarbon. Analyzed efficiency tradeoffs across model types and advanced a self-driven paper and open dataset.

PythonCodeCarbonNLPMachine LearningResearchData Analysis

CS 61B Data Structures & Algorithms

Implemented ArrayDeque and LinkedListDeque (circular sentinel), BSTMap, and project features (iterators, equals, toString, resizing). Wrote JUnit tests and analyzed runtime; explored how maps/queues can model basic order-book mechanics.

JavaAlgorithmsData StructuresJUnit

Self-Directed AI/ML Coursework

Completed practical courses covering tensors & autograd, nn.Module, DataLoaders, training/evaluation loops, overfitting control (regularization/early stopping), and basic model types (MLP/CNN); used NumPy/Pandas for preprocessing and small applied exercises.

PyTorchTensorFlowNumPyPandasMachine Learning

Supplemental Online Study

Python & backend fundamentals, plus quantitative topics (stochastic processes, numerical optimization, introductory quantitative finance) with small practice projects.

PythonBackendOptimizationFinanceStochastic Processes

Let's Build Something

Open to projects, research collaborations, and innovative work in AI, finance, and technology. If you're building something that matters, I want to hear about it.

Get in TouchView GitHub