Software Developer at Brex

Remote Software Developer role: Engineered an AI-driven portfolio optimization and risk analytics platform using Python, Pandas, NumPy, NeuralProphet, and TabNet, enabling predictive alerts and improved decision-making. Built dynamic dashboards with React, TypeScript, and D3.js featuring LLaMA 3-powered trend predictions and AI-based insights, boosting trader decision speed by 35%, compliance reporting accuracy by 28%, and user engagement by 30%. Developed Python microservices PortfolioScorer (performance evaluation) and TransactionValidator (fraud detection) with model integration for real-time risk profiling. Created RESTful APIs RiskAPI (portfolio risk metrics) and AlertAPI (predictive notifications) with OAuth2, OpenID Connect, JWT, and encrypted storage to reduce query latency by 25% and ensure regulatory compliance. Streamlined CI/CD using AWS CodePipeline, CodeBuild, PyTest, and automation scripts to enable zero-downtime deployments, raising release frequency by 40% and onboardi

Graduate Research Assistant at California State University

January 2024 to May 2024: Developed a Python-based deep learning model to predict binding free energy for computational drug discovery, designing custom loss components in a Graph Convolutional Network that reduced prediction error by 15% on large biomedical datasets. Enhanced model performance by 46.7% through multi-objective loss functions, enabling robust computational modeling to support downstream drug discovery pipelines.