Machine learning, computer vision, data systems, and full-stack engineering.
Supporting students across data science, statistical modeling, databases, and machine learning while helping refine the learning experience.
Led a web-based ML application that used financial data to predict loan approvals with an explicit focus on fairness and accuracy.
Worked across a public-facing web experience, workflow automation, and backend services for an entrepreneurship community.
A four-stage monocular-video pipeline that detects vehicles, maintains trajectories, projects motion into bird’s-eye view, and scores pairwise collision risk.
A responsive analytics platform for live prediction markets, pairing a Next.js interface and interactive charts with a Python/FastAPI data layer.
A research-paper discovery pipeline that retrieves candidates, applies user constraints, and uses an LLM scorer to rerank for topic fit, method alignment, and practical usefulness.
University of Illinois Urbana-Champaign
Minor in Computer Science · University of Illinois Urbana-Champaign
Python · TypeScript · C++ · Java · SQL · R · Bash
PyTorch · TensorFlow · Scikit-learn · Transformers · XGBoost · OpenCV
FastAPI · Flask · Docker · Kubernetes · Airflow · Apache Spark
AWS · SageMaker · Google Cloud · Vertex AI · BigQuery